From 12d10f8db8a677cc7b2dc32b257b3947faecbe7b Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 12:54:59 +0300
Subject: [PATCH 01/16] vlm

---
 Dockerfile        |  9 ++++++---
 app/serverless.py | 40 ++++++++++++++++++++++++++++++++++++----
 poetry.lock       | 41 ++++++++++++++++++++++++++++++++++++++---
 pyproject.toml    |  2 +-
 4 files changed, 81 insertions(+), 11 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9bb0e74..e75d619 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 ARG POETRY_VERSION=1.6.1
 
-FROM nvidia/cuda:12.8.1-devel-ubuntu24.04
+FROM lmsysorg/sglang:v0.4.9.post6-cu126
 # Allow statements and log messages to immediately appear in the logs
 ENV PYTHONUNBUFFERED True
 
@@ -9,7 +9,10 @@ RUN apt-get update && apt-get install -y tzdata
 # ENV TZ Asia/Tokyo
 
 RUN apt-get update && \
-    apt-get install --yes --no-install-recommends curl g++ libopencv-dev python3 python3-pip python3-dev && \
+    apt-get install --yes --no-install-recommends curl g++ libopencv-dev python3 python3-pip python3-dev fonts-noto-core \
+    fonts-noto-cjk \
+    fontconfig \
+    libgl1  && \
     rm -rf /var/lib/apt/lists/*
 
 
@@ -38,7 +41,7 @@ ENV PATH="$APP_HOME/.venv/bin:$PATH"
 
 COPY . ./
 
-RUN /bin/bash -c "mineru-models-download -s huggingface -m pipeline"
+RUN /bin/bash -c "mineru-models-download -s huggingface -m all"
 
 # Set the entry point to activate the virtual environment and run the command line tool
 ENTRYPOINT ["/bin/bash", "-c", "export MINERU_MODEL_SOURCE=local && python3 -m app.serverless"]
diff --git a/app/serverless.py b/app/serverless.py
index d367e88..78c1a13 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -13,6 +13,8 @@
 from mineru.backend.pipeline.pipeline_analyze import doc_analyze as pipeline_doc_analyze
 from mineru.backend.pipeline.pipeline_middle_json_mkcontent import union_make as pipeline_union_make
 from mineru.backend.pipeline.model_json_to_middle_json import result_to_middle_json as pipeline_result_to_middle_json
+from mineru.backend.vlm.vlm_analyze import doc_analyze as vlm_doc_analyze
+from mineru.backend.vlm.vlm_middle_json_mkcontent import union_make as vlm_union_make
 
 class TimeoutError(Exception):
     pass
@@ -54,6 +56,36 @@ def convert_to_markdown(pdf_bytes, lang="en", parse_method="auto", formula_enabl
     except Exception as e:
         raise Exception(f"Error converting PDF to markdown: {str(e)}")
 
+def convert_to_markdown_vlm(pdf_bytes, backend="vlm-sglang-engine", server_url=None):
+    """Convert PDF bytes to markdown using VLM backends; returns markdown string.
+    Only server/engine backend is supported as requested.
+    """
+    # Normalize backend to what vlm_doc_analyze expects
+    normalized_backend = backend[4:] if backend.startswith("vlm-") else backend
+    with tempfile.TemporaryDirectory() as temp_dir:
+        image_writer = FileBasedDataWriter(temp_dir)
+        middle_json, _ = vlm_doc_analyze(
+            pdf_bytes,
+            image_writer=image_writer,
+            backend=normalized_backend,
+            server_url=server_url,
+        )
+        pdf_info = middle_json["pdf_info"]
+        return vlm_union_make(pdf_info, MakeMode.MM_MD, "images")
+
+
+def convert_to_markdown_dispatch(pdf_bytes, **kwargs):
+    """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND.
+    Defaults to pipeline without changing existing behavior.
+    """
+    backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
+    if backend_env == "vlm-sglang-engine":
+        # Only support server/engine backend as requested; no client here
+        server_url = os.getenv("MINERU_SGLANG_SERVER_URL")  # optional, generally not needed for engine
+        return convert_to_markdown_vlm(pdf_bytes, backend=backend_env, server_url=server_url)
+    # Fallback to existing pipeline behavior
+    return convert_to_markdown(pdf_bytes, **kwargs)
+
 async def async_convert_to_markdown(pdf_bytes, timeout_seconds=None, **kwargs):
     """Async wrapper with timeout support"""
     loop = asyncio.get_running_loop()
@@ -61,13 +93,13 @@ async def async_convert_to_markdown(pdf_bytes, timeout_seconds=None, **kwargs):
     if timeout_seconds and timeout_seconds > 0:
         try:
             return await asyncio.wait_for(
-                loop.run_in_executor(None, lambda: convert_to_markdown(pdf_bytes, **kwargs)),
+                loop.run_in_executor(None, lambda: convert_to_markdown_dispatch(pdf_bytes, **kwargs)),
                 timeout=timeout_seconds
             )
         except asyncio.TimeoutError:
             raise TimeoutError(f"PDF processing timed out after {timeout_seconds} seconds")
     else:
-        return await loop.run_in_executor(None, lambda: convert_to_markdown(pdf_bytes, **kwargs))
+        return await loop.run_in_executor(None, lambda: convert_to_markdown_dispatch(pdf_bytes, **kwargs))
 
 async def handler(event):
     """Main serverless handler - returns only markdown"""
@@ -105,7 +137,7 @@ async def handler(event):
 
         # Process PDF
         pdf_bytes = base64.b64decode(base64_content)
-        
+
         md_content = await async_convert_to_markdown(
             pdf_bytes=pdf_bytes,
             timeout_seconds=timeout_seconds,
@@ -123,4 +155,4 @@ async def handler(event):
         return {"error": str(e), "status": "ERROR"}
 
 print("Starting RunPod serverless handler...")
-runpod.serverless.start({"handler": handler}) 
\ No newline at end of file
+runpod.serverless.start({"handler": handler})
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index edc812a..9f3badd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,38 @@
 # This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
+[[package]]
+name = "accelerate"
+version = "1.10.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.9.0"
+groups = ["main"]
+files = [
+    {file = "accelerate-1.10.0-py3-none-any.whl", hash = "sha256:260a72b560e100e839b517a331ec85ed495b3889d12886e79d1913071993c5a3"},
+    {file = "accelerate-1.10.0.tar.gz", hash = "sha256:8270568fda9036b5cccdc09703fef47872abccd56eb5f6d53b54ea5fb7581496"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "swanlab", "tensorboard", "trackio", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
 [[package]]
 name = "aiodns"
 version = "3.5.0"
@@ -2201,6 +2234,7 @@ files = [
 ]
 
 [package.dependencies]
+accelerate = {version = ">=1.5.1", optional = true, markers = "extra == \"vlm\""}
 boto3 = ">=1.28.43"
 click = ">=8.1.7"
 dill = {version = ">=0.3.8,<1", optional = true, markers = "extra == \"pipeline\""}
@@ -2221,6 +2255,7 @@ opencv-python = ">=4.11.0.86"
 pdftext = ">=0.6.2"
 pillow = ">=11.0.0"
 pyclipper = {version = ">=1.3.0,<2", optional = true, markers = "extra == \"pipeline\""}
+pydantic = {version = "*", optional = true, markers = "extra == \"vlm\""}
 pypdf = ">=5.6.0"
 pypdfium2 = ">=4.30.0"
 PyYAML = {version = ">=6.0.2,<7", optional = true, markers = "extra == \"pipeline\""}
@@ -2228,10 +2263,10 @@ rapid_table = {version = ">=1.0.5,<2.0.0", optional = true, markers = "extra ==
 reportlab = "*"
 requests = "*"
 shapely = {version = ">=2.0.7,<3", optional = true, markers = "extra == \"pipeline\""}
-torch = {version = ">=2.2.2,<2.5.0 || >2.5.0,<2.5.1 || >2.5.1,<3", optional = true, markers = "extra == \"pipeline\""}
+torch = {version = ">=2.6.0,<3", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 torchvision = {version = "*", optional = true, markers = "extra == \"pipeline\""}
 tqdm = ">=4.67.1"
-transformers = {version = ">=4.49.0,<4.51.0 || >4.51.0,<5.0.0", optional = true, markers = "extra == \"pipeline\""}
+transformers = {version = ">=4.51.1,<5.0.0", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 ultralytics = {version = ">=8.3.48,<9", optional = true, markers = "extra == \"pipeline\""}
 
 [package.extras]
@@ -5907,4 +5942,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "e94eeda8ed832cef40a99485ef07ba16423dddeca1d1ea4e9e57a5c30d3f9c60"
+content-hash = "f167797e4be263e1a51321b9dd9833ed66b7a1f180edcb2f23f6ffd75fb69a73"
diff --git a/pyproject.toml b/pyproject.toml
index 1fdd5b3..fc1f73d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "mineru[pipeline] (>=2.1.11,<3.0.0)",
+    "mineru[all] (>=2.1.11,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)"
 ]
 

From 9a08afcbc30957546edd49570c997f888afa1bfd Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 12:55:58 +0300
Subject: [PATCH 02/16] auto build

---
 .github/workflows/image.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/image.yml b/.github/workflows/image.yml
index 0906f09..9c01a67 100644
--- a/.github/workflows/image.yml
+++ b/.github/workflows/image.yml
@@ -8,6 +8,7 @@ on:
     branches:
       - main
       - dev
+      - feat/vlm
   workflow_dispatch:
 
 jobs:

From 478c4fe9605c2924c779fef8a6543b9ef22ab00c Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 13:02:08 +0300
Subject: [PATCH 03/16] fix

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index fc1f73d..f517673 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "mineru[all] (>=2.1.11,<3.0.0)",
+    "mineru[pipeline,vlm] (>=2.1.11,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)"
 ]
 

From aabcb6b0b242ca1b63d42b88eaf11e4b3f5d2059 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 13:39:49 +0300
Subject: [PATCH 04/16] fix

---
 poetry.lock | 2671 ++++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 2638 insertions(+), 33 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 9f3badd..71006c9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -202,6 +202,18 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "airportsdata"
+version = "20250811"
+description = "Extensive database of location and timezone data for nearly every airport and landing strip in the world."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "airportsdata-20250811-py3-none-any.whl", hash = "sha256:96f37fcf3f7732350b6dd606d2a8faac7e3b610d0c0b2c1637a3d2fab6b5bf39"},
+    {file = "airportsdata-20250811.tar.gz", hash = "sha256:844b663c33e85c8f3b932c14c798ef314bec53bda3b14f5694eddc24c7ab4b25"},
+]
+
 [[package]]
 name = "albucore"
 version = "0.0.24"
@@ -257,6 +269,32 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
+[[package]]
+name = "anthropic"
+version = "0.64.0"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "anthropic-0.64.0-py3-none-any.whl", hash = "sha256:6f5f7d913a6a95eb7f8e1bda4e75f76670e8acd8d4cd965e02e2a256b0429dd1"},
+    {file = "anthropic-0.64.0.tar.gz", hash = "sha256:3d496c91a63dff64f451b3e8e4b238a9640bf87b0c11d0b74ddc372ba5a3fe58"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.25.0,<1"
+jiter = ">=0.4.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+typing-extensions = ">=4.10,<5"
+
+[package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth[requests] (>=2,<3)"]
+
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -291,6 +329,22 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "asttokens"
+version = "3.0.0"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
+    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
+]
+
+[package.extras]
+astroid = ["astroid (>=2,<4)"]
+test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -401,6 +455,24 @@ files = [
 tests = ["pytest (>=3.2.1,!=3.3.0)"]
 typecheck = ["mypy"]
 
+[[package]]
+name = "blobfile"
+version = "3.0.0"
+description = "Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile"
+optional = false
+python-versions = ">=3.8.0"
+groups = ["main"]
+files = [
+    {file = "blobfile-3.0.0-py3-none-any.whl", hash = "sha256:48ecc3307e622804bd8fe13bf6f40e6463c4439eba7a1f9ad49fd78aa63cc658"},
+    {file = "blobfile-3.0.0.tar.gz", hash = "sha256:32ec777414de7bb2a76ca812a838f0d33327ca28ae844a253503cde625cdf2f1"},
+]
+
+[package.dependencies]
+filelock = ">=3.0"
+lxml = ">=4.9"
+pycryptodomex = ">=3.8"
+urllib3 = ">=1.25.3,<3"
+
 [[package]]
 name = "boto3"
 version = "1.38.37"
@@ -618,6 +690,29 @@ files = [
 [package.dependencies]
 cffi = ">=1.0.0"
 
+[[package]]
+name = "build"
+version = "1.3.0"
+description = "A simple, correct Python build frontend"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "build-1.3.0-py3-none-any.whl", hash = "sha256:7145f0b5061ba90a1500d60bd1b13ca0a8a4cebdd0cc16ed8adf1c0e739f43b4"},
+    {file = "build-1.3.0.tar.gz", hash = "sha256:698edd0ea270bde950f53aed21f3a0135672206f3911e0176261a31e0e07b397"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "os_name == \"nt\""}
+importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
+packaging = ">=19.1"
+pyproject_hooks = "*"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.11) ; python_version < \"3.10\"", "virtualenv (>=20.17) ; python_version >= \"3.10\" and python_version < \"3.14\"", "virtualenv (>=20.31) ; python_version >= \"3.14\""]
+
 [[package]]
 name = "certifi"
 version = "2025.6.15"
@@ -839,6 +934,18 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "3.1.1"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e"},
+    {file = "cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -887,6 +994,28 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 [package.extras]
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
+[[package]]
+name = "compressed-tensors"
+version = "0.11.0"
+description = "Library for utilization of compressed safetensors of neural network models"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "compressed_tensors-0.11.0-py3-none-any.whl", hash = "sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83"},
+    {file = "compressed_tensors-0.11.0.tar.gz", hash = "sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f"},
+]
+
+[package.dependencies]
+frozendict = "*"
+pydantic = ">=2.0"
+torch = ">=1.7.0"
+transformers = "*"
+
+[package.extras]
+accelerate = ["accelerate"]
+dev = ["black (==22.12.0)", "flake8 (>=3.8.3)", "isort (==5.8.0)", "nbconvert (>=7.16.3)", "pytest (>=6.0.0)", "wheel (>=0.36.2)"]
+
 [[package]]
 name = "contourpy"
 version = "1.3.2"
@@ -1024,6 +1153,73 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
+name = "cuda-bindings"
+version = "13.0.1"
+description = "Python bindings for CUDA"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "cuda_bindings-13.0.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce84f17afe0a0381583b82d1665dc27bc1f28c51454449847facaed6f52a6c00"},
+    {file = "cuda_bindings-13.0.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:81a063e7e8b1da115797748bcd7f1f5282fb93f8c2717d870b90cf68e9a58edb"},
+    {file = "cuda_bindings-13.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:8c7c7b4a2159512de02a50cfab218f197aeba9514977901a1e8b2ed26f828500"},
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+
+[package.extras]
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+
+[[package]]
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+version = "1.1.0"
+description = "Pathfinder for CUDA components"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+nvidia-wheels-cu13 = ["nvidia-cublas", "nvidia-cuda-nvcc", "nvidia-cuda-nvrtc", "nvidia-cuda-runtime", "nvidia-cufft", "nvidia-cufile ; sys_platform != \"win32\"", "nvidia-curand", "nvidia-cusolver", "nvidia-cusparse", "nvidia-npp", "nvidia-nvfatbin", "nvidia-nvjitlink", "nvidia-nvjpeg", "nvidia-nvvm"]
+test = ["pytest (>=6.2.4)"]
+
+[[package]]
+name = "cuda-python"
+version = "13.0.1"
+description = "CUDA Python: Performance meets Productivity"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+cuda-pathfinder = ">=1.1,<2.0"
+
+[package.extras]
+all = ["cuda-bindings[all] (>=13.0.1,<13.1.0)"]
+
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -1040,6 +1236,77 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
+[[package]]
+name = "datasets"
+version = "2.2.1"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+[package.dependencies]
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+dill = "*"
+fsspec = {version = ">=2021.05.0", extras = ["http"]}
+huggingface-hub = ">=0.1.0,<1.0.0"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=6.0.0"
+requests = ">=2.19.0"
+responses = "<0.19"
+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+audio = ["librosa"]
+benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
+dev = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "boto3", "botocore", "bs4", "conllu", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "flake8 (>=3.8.3)", "fsspec[s3]", "h5py", "importlib-resources ; python_version < \"3.7\"", "isort (>=5.0.0)", "jiwer", "langdetect", "librosa", "lxml", "lz4", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (==2021.08.1)", "sacrebleu", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio", "transformers", "zstandard"]
+docs = ["s3fs"]
+quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
+s3 = ["boto3", "botocore", "fsspec", "s3fs"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
+[[package]]
+name = "decorator"
+version = "5.2.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+    {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
+]
+
+[[package]]
+name = "decord"
+version = "0.6.0"
+description = "Decord Video Loader"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "decord-0.6.0-cp36-cp36m-macosx_10_15_x86_64.whl", hash = "sha256:85ef90d2f872384657d7774cc486c237c5b12df62d4ac5cb5c8d6001fa611323"},
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+    {file = "decord-0.6.0-py3-none-win_amd64.whl", hash = "sha256:02665d7c4f1193a330205a791bc128f7e108eb6ae5b67144437a02f700943bad"},
+]
+
+[package.dependencies]
+numpy = ">=1.14.0"
+
 [[package]]
 name = "dill"
 version = "0.4.0"
@@ -1056,6 +1323,18 @@ files = [
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
+[[package]]
+name = "diskcache"
+version = "5.6.3"
+description = "Disk Cache -- Disk and file backed persistent cache."
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+files = [
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+    {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -1125,6 +1404,18 @@ export = ["coremltools (>=7.0) ; platform_system != \"Windows\" and python_versi
 extra = ["albumentations (>=1.0.3)", "hub-sdk (>=0.0.5)", "ipython", "pycocotools (>=2.0.7)"]
 logging = ["comet", "dvclive (>=2.12.0)", "tensorboard (>=2.13.0)"]
 
+[[package]]
+name = "einops"
+version = "0.8.1"
+description = "A new flavour of deep learning operations"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+    {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"},
+]
+
 [[package]]
 name = "email-validator"
 version = "2.2.0"
@@ -1160,6 +1451,21 @@ typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
+version = "2.2.0"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"},
+    {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"},
+]
+
+[package.extras]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
+
 [[package]]
 name = "fast-langdetect"
 version = "0.2.5"
@@ -1334,6 +1640,29 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
 typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
+[[package]]
+name = "flashinfer-python"
+version = "0.2.9rc1"
+description = "FlashInfer: Kernel Library for LLM Serving"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "flashinfer_python-0.2.9rc1.tar.gz", hash = "sha256:eb75937fc8fa86fe5dbf98bec5b31afab65d43fde53373ad872390afef89228a"},
+]
+
+[package.dependencies]
+cuda-python = "*"
+einops = "*"
+ninja = "*"
+numpy = "*"
+nvidia-cudnn-cu12 = "*"
+nvidia-cudnn-frontend = "*"
+nvidia-nvshmem-cu12 = "*"
+pynvml = "*"
+requests = "*"
+torch = "*"
+
 [[package]]
 name = "flatbuffers"
 version = "25.2.10"
@@ -1412,6 +1741,55 @@ ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""]
 woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
+[[package]]
+name = "frozendict"
+version = "2.4.6"
+description = "A simple immutable dictionary"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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 [[package]]
 name = "frozenlist"
 version = "1.7.0"
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+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -1593,6 +1974,41 @@ files = [
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+[[package]]
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+description = "Speed up file transfers with the Hugging Face Hub."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "hf-xet"
 version = "1.1.4"
@@ -1787,6 +2203,30 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
+[[package]]
+name = "importlib-metadata"
+version = "8.7.0"
+description = "Read metadata from Python packages"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
+]
+
+[package.dependencies]
+zipp = ">=3.20"
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+perf = ["ipython"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
 [[package]]
 name = "inquirerpy"
 version = "0.3.4"
@@ -1806,6 +2246,108 @@ prompt-toolkit = ">=3.0.1,<4.0.0"
 [package.extras]
 docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
 
+[[package]]
+name = "interegular"
+version = "0.3.3"
+description = "a regex intersection checker"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+    {file = "interegular-0.3.3.tar.gz", hash = "sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600"},
+]
+
+[[package]]
+name = "ipython"
+version = "8.37.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "ipython-8.37.0-py3-none-any.whl", hash = "sha256:ed87326596b878932dbcb171e3e698845434d8c61b8d8cd474bf663041a9dcf2"},
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+[package.dependencies]
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+decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt_toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack_data = "*"
+traitlets = ">=5.13.0"
+typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
+kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
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+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.11"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
+files = [
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+    {file = "ipython-9.4.0.tar.gz", hash = "sha256:c033c6d4e7914c3d9768aabe76bbe87ba1dc66a92a05db6bfa1125d81f2ee270"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+ipython-pygments-lexers = "*"
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt_toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack_data = "*"
+traitlets = ">=5.13.0"
+typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[doc,matplotlib,test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
+matplotlib = ["matplotlib"]
+test = ["packaging", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
+name = "ipython-pygments-lexers"
+version = "1.1.1"
+description = "Defines a variety of Pygments lexers for highlighting IPython code."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
+files = [
+    {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
+    {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
+]
+
+[package.dependencies]
+pygments = "*"
+
 [[package]]
 name = "itsdangerous"
 version = "2.2.0"
@@ -1818,6 +2360,26 @@ files = [
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
 ]
 
+[[package]]
+name = "jedi"
+version = "0.19.2"
+description = "An autocompletion tool for Python that can be used for text editors."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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+    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
+]
+
+[package.dependencies]
+parso = ">=0.8.4,<0.9.0"
+
+[package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
+
 [[package]]
 name = "jinja2"
 version = "3.1.6"
@@ -1947,6 +2509,43 @@ files = [
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 ]
 
+[[package]]
+name = "jsonschema"
+version = "4.25.1"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85"},
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 version = "0.7.3"
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+html5 = ["html5lib"]
+htmlsoup = ["BeautifulSoup4"]
+
 [[package]]
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 version = "3.0.0"
@@ -2210,6 +2988,21 @@ python-dateutil = ">=2.7"
 [package.extras]
 dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
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+description = "Inline Matplotlib backend for Jupyter"
+optional = false
+python-versions = ">=3.8"
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 [[package]]
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@@ -2262,6 +3055,7 @@ PyYAML = {version = ">=6.0.2,<7", optional = true, markers = "extra == \"pipelin
 rapid_table = {version = ">=1.0.5,<2.0.0", optional = true, markers = "extra == \"pipeline\""}
 reportlab = "*"
 requests = "*"
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 torch = {version = ">=2.6.0,<3", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 torchvision = {version = "*", optional = true, markers = "extra == \"pipeline\""}
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 test = ["beautifulsoup4", "coverage", "fuzzywuzzy", "mineru[core]", "pytest", "pytest-cov"]
 vlm = ["accelerate (>=1.5.1)", "pydantic", "torch (>=2.6.0)", "transformers (>=4.51.1)"]
 
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+
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+
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+groups = ["main"]
+markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
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+pyyaml = "*"
+transformers = ">=4.39.3"
+
+[package.extras]
+evaluate = ["lm-eval", "tqdm"]
+test = ["datasets", "lm-eval"]
+train = ["datasets", "tqdm"]
+
+[[package]]
+name = "mlx-metal"
+version = "0.28.0"
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+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
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 version = "1.27.0"
@@ -2332,6 +3205,59 @@ docs = ["sphinx"]
 gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
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+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+yaml = ["pyyaml"]
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 [[package]]
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 version = "6.5.0"
@@ -2455,6 +3381,50 @@ files = [
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 typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
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+description = "Patch asyncio to allow nested event loops"
+optional = false
+python-versions = ">=3.5"
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 version = "3.4.2"
@@ -2498,6 +3468,35 @@ extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.1
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
 test-extras = ["pytest-mpl", "pytest-randomly"]
 
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 [[package]]
 name = "numpy"
 version = "2.2.6"
@@ -2633,7 +3632,6 @@ description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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@@ -2693,7 +3691,6 @@ description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
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@@ -2703,6 +3700,33 @@ files = [
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 nvidia-cublas-cu12 = "*"
 
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+python-versions = ">=3.7"
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+    {file = "nvidia_cudnn_frontend-1.14.0-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee080b8c0f502b8ac62aeb221c0efb445635a60f82d3a799e51b76ae67bd6815"},
+    {file = "nvidia_cudnn_frontend-1.14.0-cp38-cp38-win_amd64.whl", hash = "sha256:97f700c3f6127e1d74a7105bfff2906e745ecf24ac9a80b38287f37e925b5985"},
+    {file = "nvidia_cudnn_frontend-1.14.0-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7d161b79bc00e535b52c1960d4d0bd6eaa1af2902ff9d8ae7a9c7464501b38a9"},
+    {file = "nvidia_cudnn_frontend-1.14.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8e2fd06ab3268c764beb38f3e75026d55c9cee26555ac10e733734380474aad9"},
+    {file = "nvidia_cudnn_frontend-1.14.0-cp39-cp39-win_amd64.whl", hash = "sha256:c720e006816422d31ccd18a07dc7e7527605e955eb4a4e94c62bb501388f488f"},
+]
+
 [[package]]
 name = "nvidia-cufft-cu12"
 version = "11.3.0.4"
@@ -2805,6 +3829,18 @@ files = [
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-win_amd64.whl", hash = "sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7"},
 ]
 
+[[package]]
+name = "nvidia-ml-py"
+version = "12.575.51"
+description = "Python Bindings for the NVIDIA Management Library"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
 version = "2.26.2"
@@ -2832,6 +3868,18 @@ files = [
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
 ]
 
+[[package]]
+name = "nvidia-nvshmem-cu12"
+version = "3.3.20"
+description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters."
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+files = [
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+    {file = "nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d00f26d3f9b2e3c3065be895e3059d6479ea5c638a3f38c9fec49b1b9dd7c1e5"},
+]
+
 [[package]]
 name = "nvidia-nvtx-cu12"
 version = "12.6.77"
@@ -3059,6 +4107,89 @@ files = [
     {file = "orjson-3.10.18.tar.gz", hash = "sha256:e8da3947d92123eda795b68228cafe2724815621fe35e8e320a9e9593a4bcd53"},
 ]
 
+[[package]]
+name = "outlines"
+version = "0.1.11"
+description = "Probabilistic Generative Model Programming"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "outlines-0.1.11.tar.gz", hash = "sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba"},
+]
+
+[package.dependencies]
+airportsdata = "*"
+cloudpickle = "*"
+diskcache = "*"
+interegular = "*"
+jinja2 = "*"
+jsonschema = "*"
+lark = "*"
+nest_asyncio = "*"
+numpy = "*"
+outlines_core = "0.1.26"
+pycountry = "*"
+pydantic = ">=2.0"
+referencing = "*"
+requests = "*"
+torch = "*"
+tqdm = "*"
+typing_extensions = "*"
+
+[package.extras]
+exllamav2 = ["exllamav2"]
+llamacpp = ["datasets", "llama-cpp-python", "numpy (<2)", "transformers"]
+mlxlm = ["datasets", "mlx-lm"]
+openai = ["openai"]
+serve = ["fastapi", "pydantic (>=2.0)", "uvicorn", "vllm (>=0.3.0)"]
+test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "exllamav2", "huggingface_hub", "jax", "llama-cpp-python", "mlx-lm (>=0.19.2) ; platform_machine == \"arm64\" and sys_platform == \"darwin\"", "openai (>=1.0.0)", "pillow", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers", "vllm ; sys_platform != \"darwin\""]
+transformers = ["accelerate", "datasets", "numpy (<2)", "transformers"]
+vllm = ["numpy (<2)", "transformers", "vllm"]
+
+[[package]]
+name = "outlines-core"
+version = "0.1.26"
+description = "Structured Text Generation in Rust"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+    {file = "outlines_core-0.1.26-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b"},
+    {file = "outlines_core-0.1.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009"},
+    {file = "outlines_core-0.1.26-cp39-cp39-win32.whl", hash = "sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e"},
+    {file = "outlines_core-0.1.26-cp39-cp39-win_amd64.whl", hash = "sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e"},
+    {file = "outlines_core-0.1.26.tar.gz", hash = "sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189"},
+]
+
+[package.dependencies]
+interegular = "*"
+jsonschema = "*"
+
+[package.extras]
+test = ["accelerate", "asv", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface_hub", "numpy", "pillow", "pre-commit", "psutil", "pydantic", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "scipy", "setuptools-rust", "torch", "transformers"]
+
 [[package]]
 name = "packaging"
 version = "25.0"
@@ -3180,6 +4311,37 @@ all = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "invoke (>=2.0)", "p
 gssapi = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8) ; platform_system == \"Windows\""]
 invoke = ["invoke (>=2.0)"]
 
+[[package]]
+name = "parso"
+version = "0.8.4"
+description = "A Python Parser"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
+    {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
+]
+
+[package.extras]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["docopt", "pytest"]
+
+[[package]]
+name = "partial-json-parser"
+version = "0.2.1.1.post6"
+description = "Parse partial JSON generated by LLM"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "partial_json_parser-0.2.1.1.post6-py3-none-any.whl", hash = "sha256:abc332f09b13ef5233384dbfe7128a0e9ea3fa4b8f8be9b37ac1b433c810e99e"},
+    {file = "partial_json_parser-0.2.1.1.post6.tar.gz", hash = "sha256:43896b68929678224cbbe4884a6a5fe9251ded4b30b8b7d7eb569e5feea93afc"},
+]
+
+[package.extras]
+playground = ["rich"]
+
 [[package]]
 name = "pdfminer-six"
 version = "20250506"
@@ -3219,6 +4381,22 @@ pydantic = ">=2.7.1,<3.0.0"
 pydantic-settings = ">=2.2.1,<3.0.0"
 pypdfium2 = "4.30.0"
 
+[[package]]
+name = "pexpect"
+version = "4.9.0"
+description = "Pexpect allows easy control of interactive console applications."
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
+files = [
+    {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
+    {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
+]
+
+[package.dependencies]
+ptyprocess = ">=0.5"
+
 [[package]]
 name = "pfzy"
 version = "0.3.4"
@@ -3352,6 +4530,21 @@ wcwidth = "*"
 [package.extras]
 tests = ["pytest", "pytest-cov", "pytest-lazy-fixtures"]
 
+[[package]]
+name = "prometheus-client"
+version = "0.22.1"
+description = "Python client for the Prometheus monitoring system."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "prometheus_client-0.22.1-py3-none-any.whl", hash = "sha256:cca895342e308174341b2cbf99a56bef291fbc0ef7b9e5412a0f26d653ba7094"},
+    {file = "prometheus_client-0.22.1.tar.gz", hash = "sha256:190f1331e783cf21eb60bca559354e0a4d4378facecf78f5428c39b675d20d28"},
+]
+
+[package.extras]
+twisted = ["twisted"]
+
 [[package]]
 name = "prompt-toolkit"
 version = "3.0.51"
@@ -3499,24 +4692,52 @@ name = "psutil"
 version = "7.0.0"
 description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25"},
+    {file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"},
+    {file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91"},
+    {file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34"},
+    {file = "psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5f098451abc2828f7dc6b58d44b532b22f2088f4999a937557b603ce72b1993"},
+    {file = "psutil-7.0.0-cp36-cp36m-win32.whl", hash = "sha256:84df4eb63e16849689f76b1ffcb36db7b8de703d1bc1fe41773db487621b6c17"},
+    {file = "psutil-7.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:1e744154a6580bc968a0195fd25e80432d3afec619daf145b9e5ba16cc1d688e"},
+    {file = "psutil-7.0.0-cp37-abi3-win32.whl", hash = "sha256:ba3fcef7523064a6c9da440fc4d6bd07da93ac726b5733c29027d7dc95b39d99"},
+    {file = "psutil-7.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:4cf3d4eb1aa9b348dec30105c55cd9b7d4629285735a102beb4441e38db90553"},
+    {file = "psutil-7.0.0.tar.gz", hash = "sha256:7be9c3eba38beccb6495ea33afd982a44074b78f28c434a1f51cc07fd315c456"},
+]
+
+[package.extras]
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+test = ["pytest", "pytest-xdist", "setuptools"]
+
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
+files = [
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+]
+
+[[package]]
+name = "pure-eval"
+version = "0.2.3"
+description = "Safely evaluate AST nodes without side effects"
+optional = false
+python-versions = "*"
 groups = ["main"]
 files = [
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 tests = ["hypothesis (>=3.27.0)", "pytest (>=3.2.1,!=3.3.0)"]
 
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+
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 version = "1.0.5"
@@ -4134,6 +5858,23 @@ requests = "*"
 [package.extras]
 torch = ["tokenizers", "torch", "torchvision"]
 
+[[package]]
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+
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 version = "2024.11.6"
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
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+
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 version = "14.0.0"
@@ -4340,6 +6100,171 @@ tqdm = "*"
 [package.extras]
 dev = ["black", "pre-commit (>=3.3.3)", "pytest", "pytest-cov", "ruff"]
 
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 [[package]]
 name = "setuptools"
 version = "80.9.0"
@@ -4538,6 +6652,110 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
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+version = "0.2.7"
+description = "Kernel Library for SGLang"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+datasets = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
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+huggingface_hub = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
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+IPython = "*"
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+numpy = "*"
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+pillow = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
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+sentencepiece = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
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+tiktoken = {version = "*", optional = true, markers = "extra == \"openai\""}
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+torch = {version = "2.7.1", optional = true, markers = "extra == \"srt\""}
+torch_memory_saver = {version = ">=0.0.8", optional = true, markers = "extra == \"torch-memory-saver\""}
+torchao = {version = "0.9.0", optional = true, markers = "extra == \"runtime-common\""}
+torchaudio = {version = "2.7.1", optional = true, markers = "extra == \"srt\""}
+torchvision = {version = "0.22.1", optional = true, markers = "extra == \"srt\""}
+tqdm = "*"
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+uvloop = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+xgrammar = {version = "0.1.21", optional = true, markers = "extra == \"runtime-common\""}
+
+[package.extras]
+all = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt]", "sglang[torch-memory-saver]"]
+all-cpu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-cpu]"]
+all-hip = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-hip]"]
+all-hpu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-hpu]"]
+all-npu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-npu]"]
+all-xpu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-xpu]"]
+anthropic = ["anthropic (>=0.20.0)"]
+blackwell = ["cuda-python", "einops", "flashinfer_python (==0.2.9rc1)", "sgl-kernel", "sglang[runtime-common]", "torch (==2.7.1)", "torchaudio (==2.7.1)", "torchvision (==0.22.1)"]
+decord = ["decord"]
+dev = ["sglang[all]", "sglang[test]"]
+dev-cpu = ["sglang[all-cpu]", "sglang[test]"]
+dev-hip = ["sglang[all-hip]", "sglang[test]"]
+dev-hpu = ["sglang[all-hpu]", "sglang[test]"]
+dev-xpu = ["sglang[all-xpu]", "sglang[test]"]
+litellm = ["litellm (>=1.0.0)"]
+openai = ["openai (>=1.0)", "tiktoken"]
+runtime-common = ["blobfile (==3.0.0)", "build", "compressed-tensors", "datasets", "fastapi", "hf_transfer", "huggingface_hub", "interegular", "llguidance (>=0.7.11,<0.8.0)", "modelscope", "msgspec", "ninja", "orjson", "outlines (==0.1.11)", "packaging", "partial_json_parser", "pillow", "prometheus-client (>=0.20.0)", "psutil", "pybase64", "pydantic", "pynvml", "python-multipart", "pyzmq (>=25.1.2)", "scipy", "sentencepiece", "soundfile (==0.13.1)", "timm (==1.0.16)", "torchao (==0.9.0)", "transformers (==4.53.2)", "uvicorn", "uvloop", "xgrammar (==0.1.21)"]
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+srt-cpu = ["einops", "sglang[runtime-common]"]
+srt-hip = ["petit_kernel (==0.0.2)", "sglang[runtime-common]", "torch"]
+srt-hpu = ["sglang[runtime-common]"]
+srt-npu = ["sglang[runtime-common]"]
+srt-xpu = ["sglang[runtime-common]"]
+test = ["accelerate", "jsonlines", "matplotlib", "pandas", "peft", "sentence_transformers"]
+torch-memory-saver = ["torch_memory_saver (>=0.0.8)"]
+
 [[package]]
 name = "shapely"
 version = "2.1.1"
@@ -4738,6 +6956,48 @@ files = [
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 ]
 
+[[package]]
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+version = "0.13.1"
+description = "An audio library based on libsndfile, CFFI and NumPy"
+optional = false
+python-versions = "*"
+groups = ["main"]
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 opt-einsum = ["opt-einsum (>=3.3)"]
 optree = ["optree (>=0.13.0)"]
 
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 [[package]]
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 version = "0.22.1"
@@ -5157,16 +7548,32 @@ files = [
 [package.dependencies]
 tqdm = ">4.64"
 
+[[package]]
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+python-versions = ">=3.8"
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+
 [[package]]
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-version = "4.52.4"
+version = "4.53.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
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 ]
 
 [package.dependencies]
@@ -5183,29 +7590,30 @@ tqdm = ">=4.27"
 
 [package.extras]
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
-hf-xet = ["hf-xet"]
-hub-kernels = ["kernels (>=0.4.4,<0.5)"]
-integrations = ["kernels (>=0.4.4,<0.5)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
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+hf-xet = ["hf_xet"]
+hub-kernels = ["kernels (>=0.6.1,<0.7)"]
+integrations = ["kernels (>=0.6.1,<0.7)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
 natten = ["natten (>=0.14.6,<0.15.0)"]
 num2words = ["num2words"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 ruff = ["ruff (==0.11.2)"]
@@ -5215,17 +7623,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=1.0.11)"]
 tokenizers = ["tokenizers (>=0.21,<0.22)"]
-torch = ["accelerate (>=0.26.0)", "torch (>=2.1,<2.7)"]
+torch = ["accelerate (>=0.26.0)", "torch (>=2.1)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "tqdm (>=4.27)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -5505,7 +7913,6 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -5820,6 +8227,184 @@ files = [
 [package.extras]
 dev = ["black (>=19.3b0) ; python_version >= \"3.6\"", "pytest (>=4.6.2)"]
 
+[[package]]
+name = "xgrammar"
+version = "0.1.21"
+description = "Efficient, Flexible and Portable Structured Generation"
+optional = false
+python-versions = "<4,>=3.8"
+groups = ["main"]
+files = [
+    {file = "xgrammar-0.1.21-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:77af5e5487992489131047e38e7136733a24f9c1aa73ef80665a85effd835f77"},
+    {file = "xgrammar-0.1.21-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ae38de964a1d56437bc84c0aedf1b0a5a48ff2e805a0ec454b0caaa25b3c7f84"},
+    {file = "xgrammar-0.1.21-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce25b17690d6abebf79d287330578203a361819058f6e893aefa69049f173ad8"},
+    {file = "xgrammar-0.1.21-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b181f45bbba8563fcaf20a6338ebcbb663d804ab22d160b446c810c6fc397477"},
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+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd1b2281d01723f076df3c8188f43f2472248a6b63118b036e641243656b1b0f"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9c770750cc80e8694492244bca7251385188bc5597b6a39d98a9f30e8da984e0"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b150b8467852e1bd844387459aa6fbe11d7f38b56e901f9f3b3e6aba0d660240"},
+    {file = "xxhash-3.5.0.tar.gz", hash = "sha256:84f2caddf951c9cbf8dc2e22a89d4ccf5d86391ac6418fe81e3c67d0cf60b45f"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.20.1"
@@ -5939,7 +8524,27 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "f167797e4be263e1a51321b9dd9833ed66b7a1f180edcb2f23f6ffd75fb69a73"
+content-hash = "0774a565df2c2706cf0537b73ff812b44935377e72af532d37a600f8cc431d5e"

From b61f532b504b59159a65424e9ea1b4369d633288 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 13:40:23 +0300
Subject: [PATCH 05/16] fix

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index f517673..4d613c0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "mineru[pipeline,vlm] (>=2.1.11,<3.0.0)",
+    "mineru[pipeline,vlm,sglang] (>=2.1.11,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)"
 ]
 

From f9c31e4758620ff6a6184a484aabf39999094ce8 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 14:26:12 +0300
Subject: [PATCH 06/16] fix

---
 app/serverless.py | 29 ++++++++++++++---------------
 1 file changed, 14 insertions(+), 15 deletions(-)

diff --git a/app/serverless.py b/app/serverless.py
index 78c1a13..cc15093 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -4,6 +4,7 @@
 import asyncio
 import tempfile
 import copy
+from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeoutError
 
 import runpod
 
@@ -86,23 +87,21 @@ def convert_to_markdown_dispatch(pdf_bytes, **kwargs):
     # Fallback to existing pipeline behavior
     return convert_to_markdown(pdf_bytes, **kwargs)
 
-async def async_convert_to_markdown(pdf_bytes, timeout_seconds=None, **kwargs):
-    """Async wrapper with timeout support"""
-    loop = asyncio.get_running_loop()
-    
-    if timeout_seconds and timeout_seconds > 0:
+
+def convert_to_markdown_with_timeout(pdf_bytes, timeout_seconds=None, **kwargs):
+    """Run conversion in a separate thread with an optional timeout without using signals."""
+    with ThreadPoolExecutor(max_workers=1) as executor:
+        future = executor.submit(convert_to_markdown_dispatch, pdf_bytes, **kwargs)
         try:
-            return await asyncio.wait_for(
-                loop.run_in_executor(None, lambda: convert_to_markdown_dispatch(pdf_bytes, **kwargs)),
-                timeout=timeout_seconds
-            )
-        except asyncio.TimeoutError:
+            if timeout_seconds and timeout_seconds > 0:
+                return future.result(timeout=timeout_seconds)
+            return future.result()
+        except FuturesTimeoutError:
             raise TimeoutError(f"PDF processing timed out after {timeout_seconds} seconds")
-    else:
-        return await loop.run_in_executor(None, lambda: convert_to_markdown_dispatch(pdf_bytes, **kwargs))
 
-async def handler(event):
-    """Main serverless handler - returns only markdown"""
+
+def handler(event):
+    """Main serverless handler - returns only markdown (synchronous)."""
     try:
         input_data = event.get("input", {})
         base64_content = input_data.get("file_content")
@@ -138,7 +137,7 @@ async def handler(event):
         # Process PDF
         pdf_bytes = base64.b64decode(base64_content)
 
-        md_content = await async_convert_to_markdown(
+        md_content = convert_to_markdown_with_timeout(
             pdf_bytes=pdf_bytes,
             timeout_seconds=timeout_seconds,
             lang=lang,

From 2c533ba0e8c7e07b791c793bfe40443636bc6cda Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 14:57:45 +0300
Subject: [PATCH 07/16] fixxx

---
 app/serverless.py | 83 +++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 73 insertions(+), 10 deletions(-)

diff --git a/app/serverless.py b/app/serverless.py
index cc15093..f533eb9 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -1,10 +1,9 @@
 import base64
 import os
 import time
-import asyncio
 import tempfile
 import copy
-from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeoutError
+from concurrent.futures import ProcessPoolExecutor, TimeoutError as FuturesTimeoutError
 
 import runpod
 
@@ -88,14 +87,72 @@ def convert_to_markdown_dispatch(pdf_bytes, **kwargs):
     return convert_to_markdown(pdf_bytes, **kwargs)
 
 
-def convert_to_markdown_with_timeout(pdf_bytes, timeout_seconds=None, **kwargs):
-    """Run conversion in a separate thread with an optional timeout without using signals."""
-    with ThreadPoolExecutor(max_workers=1) as executor:
-        future = executor.submit(convert_to_markdown_dispatch, pdf_bytes, **kwargs)
+def _convert_entry(args_tuple):
+    """Top-level helper for subprocess execution."""
+    (
+        pdf_bytes,
+        backend_env,
+        server_url,
+        lang,
+        parse_method,
+        formula_enable,
+        table_enable,
+    ) = args_tuple
+    if backend_env:
+        os.environ["MINERU_BACKEND"] = backend_env
+    if server_url:
+        os.environ["MINERU_SGLANG_SERVER_URL"] = server_url
+    return convert_to_markdown_dispatch(
+        pdf_bytes,
+        lang=lang,
+        parse_method=parse_method,
+        formula_enable=formula_enable,
+        table_enable=table_enable,
+    )
+
+
+def convert_to_markdown_with_timeout(
+    pdf_bytes,
+    timeout_seconds=None,
+    *,
+    backend_env: str | None,
+    server_url: str | None,
+    lang: str,
+    parse_method: str,
+    formula_enable: bool,
+    table_enable: bool,
+):
+    """Run conversion in a separate process with an optional timeout.
+    Keeps conversion in the main thread when no timeout is requested.
+    """
+    # If no timeout, run inline in the main process/thread to allow libraries that require main-thread signals.
+    if not timeout_seconds or timeout_seconds <= 0:
+        # Ensure env is applied for inline run as well
+        if backend_env:
+            os.environ["MINERU_BACKEND"] = backend_env
+        if server_url:
+            os.environ["MINERU_SGLANG_SERVER_URL"] = server_url
+        return convert_to_markdown_dispatch(
+            pdf_bytes,
+            lang=lang,
+            parse_method=parse_method,
+            formula_enable=formula_enable,
+            table_enable=table_enable,
+        )
+
+    args_tuple = (
+        pdf_bytes,
+        backend_env,
+        server_url,
+        lang,
+        parse_method,
+        formula_enable,
+        table_enable,
+    )
+    with ProcessPoolExecutor(max_workers=1) as executor:
+        future = executor.submit(_convert_entry, args_tuple)
         try:
-            if timeout_seconds and timeout_seconds > 0:
-                return future.result(timeout=timeout_seconds)
-            return future.result()
+            return future.result(timeout=timeout_seconds)
         except FuturesTimeoutError:
             raise TimeoutError(f"PDF processing timed out after {timeout_seconds} seconds")
 
@@ -137,13 +194,19 @@ def handler(event):
         # Process PDF
         pdf_bytes = base64.b64decode(base64_content)
 
+        # Read backend envs once and pass into subprocess when needed
+        backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
+        server_url = os.getenv("MINERU_SGLANG_SERVER_URL")
+
         md_content = convert_to_markdown_with_timeout(
             pdf_bytes=pdf_bytes,
             timeout_seconds=timeout_seconds,
+            backend_env=backend_env,
+            server_url=server_url,
             lang=lang,
             parse_method=parse_method,
             formula_enable=formula_enable,
-            table_enable=table_enable
+            table_enable=table_enable,
         )
 
         return {"markdown": md_content, "status": "SUCCESS"}

From 91911fd8aac6d97fd714cf6f3c73817f630d2c05 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 15:31:29 +0300
Subject: [PATCH 08/16] fix

---
 app/serverless.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/app/serverless.py b/app/serverless.py
index f533eb9..9cfc770 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -216,5 +216,6 @@ def handler(event):
     except Exception as e:
         return {"error": str(e), "status": "ERROR"}
 
-print("Starting RunPod serverless handler...")
-runpod.serverless.start({"handler": handler})
\ No newline at end of file
+if __name__ == "__main__":
+    print("Starting RunPod serverless handler...")
+    runpod.serverless.start({"handler": handler})
\ No newline at end of file

From 2267206c0d5cfffd0ba2b55075dfd29839a64ede Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Wed, 20 Aug 2025 20:25:43 +0300
Subject: [PATCH 09/16] simplify

---
 app/serverless.py | 168 +++++++---------------------------------------
 1 file changed, 26 insertions(+), 142 deletions(-)

diff --git a/app/serverless.py b/app/serverless.py
index 9cfc770..69f62eb 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -2,207 +2,93 @@
 import os
 import time
 import tempfile
-import copy
-from concurrent.futures import ProcessPoolExecutor, TimeoutError as FuturesTimeoutError
 
 import runpod
 
-# New mineru imports
-from mineru.data.data_reader_writer import FileBasedDataWriter
-from mineru.utils.enum_class import MakeMode
-from mineru.backend.pipeline.pipeline_analyze import doc_analyze as pipeline_doc_analyze
-from mineru.backend.pipeline.pipeline_middle_json_mkcontent import union_make as pipeline_union_make
-from mineru.backend.pipeline.model_json_to_middle_json import result_to_middle_json as pipeline_result_to_middle_json
-from mineru.backend.vlm.vlm_analyze import doc_analyze as vlm_doc_analyze
-from mineru.backend.vlm.vlm_middle_json_mkcontent import union_make as vlm_union_make
 
 class TimeoutError(Exception):
     pass
 
+
 def convert_to_markdown(pdf_bytes, lang="en", parse_method="auto", formula_enable=True, table_enable=True):
     """Convert PDF bytes to markdown - returns only the markdown string"""
-    
     try:
-        # Analyze the PDF
+        # Lazy imports to avoid import-time signal handling in non-main threads
+        from mineru.data.data_reader_writer import FileBasedDataWriter
+        from mineru.utils.enum_class import MakeMode
+        from mineru.backend.pipeline.pipeline_analyze import doc_analyze as pipeline_doc_analyze
+        from mineru.backend.pipeline.pipeline_middle_json_mkcontent import union_make as pipeline_union_make
+        from mineru.backend.pipeline.model_json_to_middle_json import result_to_middle_json as pipeline_result_to_middle_json
+
         infer_results, all_image_lists, all_pdf_docs, lang_list_result, ocr_enabled_list = pipeline_doc_analyze(
-            [pdf_bytes], 
-            [lang], 
-            parse_method=parse_method, 
-            formula_enable=formula_enable,
-            table_enable=table_enable
+            [pdf_bytes], [lang], parse_method=parse_method, formula_enable=formula_enable, table_enable=table_enable
         )
-        
-        # Process results
+
         model_list = infer_results[0]
         images_list = all_image_lists[0]
         pdf_doc = all_pdf_docs[0]
         _lang = lang_list_result[0]
         _ocr_enable = ocr_enabled_list[0]
-        
-        # Create temporary image directory for any image processing
+
         with tempfile.TemporaryDirectory() as temp_dir:
             image_writer = FileBasedDataWriter(temp_dir)
-            
-            # Convert to middle JSON format
             middle_json = pipeline_result_to_middle_json(
-                model_list, images_list, pdf_doc, image_writer, 
-                _lang, _ocr_enable, formula_enable
+                model_list, images_list, pdf_doc, image_writer, _lang, _ocr_enable, formula_enable
             )
-            
-            # Generate and return markdown
             pdf_info = middle_json["pdf_info"]
             return pipeline_union_make(pdf_info, MakeMode.MM_MD, "images")
-            
     except Exception as e:
         raise Exception(f"Error converting PDF to markdown: {str(e)}")
 
+
 def convert_to_markdown_vlm(pdf_bytes, backend="vlm-sglang-engine", server_url=None):
-    """Convert PDF bytes to markdown using VLM backends; returns markdown string.
-    Only server/engine backend is supported as requested.
-    """
-    # Normalize backend to what vlm_doc_analyze expects
+    """Convert PDF bytes to markdown using VLM backends; returns markdown string."""
+    # Lazy imports to avoid import-time signal handling in non-main threads
+    from mineru.data.data_reader_writer import FileBasedDataWriter
+    from mineru.utils.enum_class import MakeMode
+    from mineru.backend.vlm.vlm_analyze import doc_analyze as vlm_doc_analyze
+    from mineru.backend.vlm.vlm_middle_json_mkcontent import union_make as vlm_union_make
+
     normalized_backend = backend[4:] if backend.startswith("vlm-") else backend
     with tempfile.TemporaryDirectory() as temp_dir:
         image_writer = FileBasedDataWriter(temp_dir)
         middle_json, _ = vlm_doc_analyze(
-            pdf_bytes,
-            image_writer=image_writer,
-            backend=normalized_backend,
-            server_url=server_url,
+            pdf_bytes, image_writer=image_writer, backend=normalized_backend, server_url=server_url
         )
         pdf_info = middle_json["pdf_info"]
         return vlm_union_make(pdf_info, MakeMode.MM_MD, "images")
 
 
 def convert_to_markdown_dispatch(pdf_bytes, **kwargs):
-    """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND.
-    Defaults to pipeline without changing existing behavior.
-    """
+    """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND."""
     backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
     if backend_env == "vlm-sglang-engine":
-        # Only support server/engine backend as requested; no client here
-        server_url = os.getenv("MINERU_SGLANG_SERVER_URL")  # optional, generally not needed for engine
+        server_url = os.getenv("MINERU_SGLANG_SERVER_URL")
         return convert_to_markdown_vlm(pdf_bytes, backend=backend_env, server_url=server_url)
-    # Fallback to existing pipeline behavior
     return convert_to_markdown(pdf_bytes, **kwargs)
 
 
-def _convert_entry(args_tuple):
-    """Top-level helper for subprocess execution."""
-    (
-        pdf_bytes,
-        backend_env,
-        server_url,
-        lang,
-        parse_method,
-        formula_enable,
-        table_enable,
-    ) = args_tuple
-    if backend_env:
-        os.environ["MINERU_BACKEND"] = backend_env
-    if server_url:
-        os.environ["MINERU_SGLANG_SERVER_URL"] = server_url
-    return convert_to_markdown_dispatch(
-        pdf_bytes,
-        lang=lang,
-        parse_method=parse_method,
-        formula_enable=formula_enable,
-        table_enable=table_enable,
-    )
-
-
-def convert_to_markdown_with_timeout(
-    pdf_bytes,
-    timeout_seconds=None,
-    *,
-    backend_env: str | None,
-    server_url: str | None,
-    lang: str,
-    parse_method: str,
-    formula_enable: bool,
-    table_enable: bool,
-):
-    """Run conversion in a separate process with an optional timeout.
-    Keeps conversion in the main thread when no timeout is requested.
-    """
-    # If no timeout, run inline in the main process/thread to allow libraries that require main-thread signals.
-    if not timeout_seconds or timeout_seconds <= 0:
-        # Ensure env is applied for inline run as well
-        if backend_env:
-            os.environ["MINERU_BACKEND"] = backend_env
-        if server_url:
-            os.environ["MINERU_SGLANG_SERVER_URL"] = server_url
-        return convert_to_markdown_dispatch(
-            pdf_bytes,
-            lang=lang,
-            parse_method=parse_method,
-            formula_enable=formula_enable,
-            table_enable=table_enable,
-        )
-
-    args_tuple = (
-        pdf_bytes,
-        backend_env,
-        server_url,
-        lang,
-        parse_method,
-        formula_enable,
-        table_enable,
-    )
-    with ProcessPoolExecutor(max_workers=1) as executor:
-        future = executor.submit(_convert_entry, args_tuple)
-        try:
-            return future.result(timeout=timeout_seconds)
-        except FuturesTimeoutError:
-            raise TimeoutError(f"PDF processing timed out after {timeout_seconds} seconds")
-
-
 def handler(event):
-    """Main serverless handler - returns only markdown (synchronous)."""
     try:
         input_data = event.get("input", {})
         base64_content = input_data.get("file_content")
         filename = input_data.get("filename")
-        timeout = input_data.get("timeout")
-        created_at = input_data.get("created_at")
-        
-        # Processing options
+
         lang = input_data.get("lang", "en")
         parse_method = input_data.get("parse_method", "auto")
         formula_enable = input_data.get("formula_enable", True)
         table_enable = input_data.get("table_enable", True)
 
-        # Calculate remaining timeout
-        timeout_seconds = None
-        if timeout:
-            timeout_seconds = int(timeout) / 1000
-            if created_at:
-                elapsed = time.time() - (created_at / 1000)
-                if elapsed >= timeout_seconds:
-                    return {"error": "Request timed out before processing", "status": "TIMEOUT"}
-                timeout_seconds = max(0, timeout_seconds - elapsed)
-                if timeout_seconds < 1:
-                    return {"error": "Insufficient time remaining", "status": "TIMEOUT"}
-
-        # Validate input
         if not base64_content or not filename:
             return {"error": "Missing file_content or filename", "status": "ERROR"}
 
         if not filename.lower().endswith('.pdf'):
             return {"error": "Only PDF files supported", "status": "ERROR"}
 
-        # Process PDF
         pdf_bytes = base64.b64decode(base64_content)
 
-        # Read backend envs once and pass into subprocess when needed
-        backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
-        server_url = os.getenv("MINERU_SGLANG_SERVER_URL")
-
-        md_content = convert_to_markdown_with_timeout(
+        md_content = convert_to_markdown_dispatch(
             pdf_bytes=pdf_bytes,
-            timeout_seconds=timeout_seconds,
-            backend_env=backend_env,
-            server_url=server_url,
             lang=lang,
             parse_method=parse_method,
             formula_enable=formula_enable,
@@ -210,12 +96,10 @@ def handler(event):
         )
 
         return {"markdown": md_content, "status": "SUCCESS"}
-        
-    except TimeoutError as e:
-        return {"error": str(e), "status": "TIMEOUT"}
     except Exception as e:
         return {"error": str(e), "status": "ERROR"}
 
+
 if __name__ == "__main__":
     print("Starting RunPod serverless handler...")
     runpod.serverless.start({"handler": handler})
\ No newline at end of file

From 6ed9d743f52df11ec0bae302427c89b099da8c13 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Thu, 18 Sep 2025 16:30:29 +0300
Subject: [PATCH 10/16] update mineru

---
 poetry.lock    | 2781 +++---------------------------------------------
 pyproject.toml |    2 +-
 2 files changed, 155 insertions(+), 2628 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 71006c9..b22de25 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,38 +1,5 @@
 # This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
-[[package]]
-name = "accelerate"
-version = "1.10.0"
-description = "Accelerate"
-optional = false
-python-versions = ">=3.9.0"
-groups = ["main"]
-files = [
-    {file = "accelerate-1.10.0-py3-none-any.whl", hash = "sha256:260a72b560e100e839b517a331ec85ed495b3889d12886e79d1913071993c5a3"},
-    {file = "accelerate-1.10.0.tar.gz", hash = "sha256:8270568fda9036b5cccdc09703fef47872abccd56eb5f6d53b54ea5fb7581496"},
-]
-
-[package.dependencies]
-huggingface_hub = ">=0.21.0"
-numpy = ">=1.17,<3.0.0"
-packaging = ">=20.0"
-psutil = "*"
-pyyaml = "*"
-safetensors = ">=0.4.3"
-torch = ">=2.0.0"
-
-[package.extras]
-deepspeed = ["deepspeed"]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
-rich = ["rich"]
-sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-test-fp8 = ["torchao"]
-test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
-test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "swanlab", "tensorboard", "trackio", "wandb"]
-testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-
 [[package]]
 name = "aiodns"
 version = "3.5.0"
@@ -202,18 +169,6 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
-[[package]]
-name = "airportsdata"
-version = "20250811"
-description = "Extensive database of location and timezone data for nearly every airport and landing strip in the world."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "airportsdata-20250811-py3-none-any.whl", hash = "sha256:96f37fcf3f7732350b6dd606d2a8faac7e3b610d0c0b2c1637a3d2fab6b5bf39"},
-    {file = "airportsdata-20250811.tar.gz", hash = "sha256:844b663c33e85c8f3b932c14c798ef314bec53bda3b14f5694eddc24c7ab4b25"},
-]
-
 [[package]]
 name = "albucore"
 version = "0.0.24"
@@ -269,32 +224,6 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[[package]]
-name = "anthropic"
-version = "0.64.0"
-description = "The official Python library for the anthropic API"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "anthropic-0.64.0-py3-none-any.whl", hash = "sha256:6f5f7d913a6a95eb7f8e1bda4e75f76670e8acd8d4cd965e02e2a256b0429dd1"},
-    {file = "anthropic-0.64.0.tar.gz", hash = "sha256:3d496c91a63dff64f451b3e8e4b238a9640bf87b0c11d0b74ddc372ba5a3fe58"},
-]
-
-[package.dependencies]
-anyio = ">=3.5.0,<5"
-distro = ">=1.7.0,<2"
-httpx = ">=0.25.0,<1"
-jiter = ">=0.4.0,<1"
-pydantic = ">=1.9.0,<3"
-sniffio = "*"
-typing-extensions = ">=4.10,<5"
-
-[package.extras]
-aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
-bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
-vertex = ["google-auth[requests] (>=2,<3)"]
-
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -329,22 +258,6 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
-[[package]]
-name = "asttokens"
-version = "3.0.0"
-description = "Annotate AST trees with source code positions"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
-    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
-]
-
-[package.extras]
-astroid = ["astroid (>=2,<4)"]
-test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
-
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -456,22 +369,27 @@ tests = ["pytest (>=3.2.1,!=3.3.0)"]
 typecheck = ["mypy"]
 
 [[package]]
-name = "blobfile"
-version = "3.0.0"
-description = "Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile"
+name = "beautifulsoup4"
+version = "4.13.5"
+description = "Screen-scraping library"
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.7.0"
 groups = ["main"]
 files = [
-    {file = "blobfile-3.0.0-py3-none-any.whl", hash = "sha256:48ecc3307e622804bd8fe13bf6f40e6463c4439eba7a1f9ad49fd78aa63cc658"},
-    {file = "blobfile-3.0.0.tar.gz", hash = "sha256:32ec777414de7bb2a76ca812a838f0d33327ca28ae844a253503cde625cdf2f1"},
+    {file = "beautifulsoup4-4.13.5-py3-none-any.whl", hash = "sha256:642085eaa22233aceadff9c69651bc51e8bf3f874fb6d7104ece2beb24b47c4a"},
+    {file = "beautifulsoup4-4.13.5.tar.gz", hash = "sha256:5e70131382930e7c3de33450a2f54a63d5e4b19386eab43a5b34d594268f3695"},
 ]
 
 [package.dependencies]
-filelock = ">=3.0"
-lxml = ">=4.9"
-pycryptodomex = ">=3.8"
-urllib3 = ">=1.25.3,<3"
+soupsieve = ">1.2"
+typing-extensions = ">=4.0.0"
+
+[package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
 
 [[package]]
 name = "boto3"
@@ -690,29 +608,6 @@ files = [
 [package.dependencies]
 cffi = ">=1.0.0"
 
-[[package]]
-name = "build"
-version = "1.3.0"
-description = "A simple, correct Python build frontend"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "build-1.3.0-py3-none-any.whl", hash = "sha256:7145f0b5061ba90a1500d60bd1b13ca0a8a4cebdd0cc16ed8adf1c0e739f43b4"},
-    {file = "build-1.3.0.tar.gz", hash = "sha256:698edd0ea270bde950f53aed21f3a0135672206f3911e0176261a31e0e07b397"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "os_name == \"nt\""}
-importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
-packaging = ">=19.1"
-pyproject_hooks = "*"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-uv = ["uv (>=0.1.18)"]
-virtualenv = ["virtualenv (>=20.11) ; python_version < \"3.10\"", "virtualenv (>=20.17) ; python_version >= \"3.10\" and python_version < \"3.14\"", "virtualenv (>=20.31) ; python_version >= \"3.14\""]
-
 [[package]]
 name = "certifi"
 version = "2025.6.15"
@@ -934,18 +829,6 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
-[[package]]
-name = "cloudpickle"
-version = "3.1.1"
-description = "Pickler class to extend the standard pickle.Pickler functionality"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e"},
-    {file = "cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64"},
-]
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -994,28 +877,6 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 [package.extras]
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
-[[package]]
-name = "compressed-tensors"
-version = "0.11.0"
-description = "Library for utilization of compressed safetensors of neural network models"
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
-    {file = "compressed_tensors-0.11.0-py3-none-any.whl", hash = "sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83"},
-    {file = "compressed_tensors-0.11.0.tar.gz", hash = "sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f"},
-]
-
-[package.dependencies]
-frozendict = "*"
-pydantic = ">=2.0"
-torch = ">=1.7.0"
-transformers = "*"
-
-[package.extras]
-accelerate = ["accelerate"]
-dev = ["black (==22.12.0)", "flake8 (>=3.8.3)", "isort (==5.8.0)", "nbconvert (>=7.16.3)", "pytest (>=6.0.0)", "wheel (>=0.36.2)"]
-
 [[package]]
 name = "contourpy"
 version = "1.3.2"
@@ -1153,73 +1014,6 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
-[[package]]
-name = "cuda-bindings"
-version = "13.0.1"
-description = "Python bindings for CUDA"
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
-    {file = "cuda_bindings-13.0.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce84f17afe0a0381583b82d1665dc27bc1f28c51454449847facaed6f52a6c00"},
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@@ -1236,77 +1030,6 @@ files = [
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@@ -1323,18 +1046,6 @@ files = [
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@@ -1451,21 +1150,6 @@ typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
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-
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 abfs = ["adlfs"]
 adl = ["adlfs"]
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 [[package]]
 name = "hf-xet"
 version = "1.1.4"
@@ -2204,28 +1778,38 @@ files = [
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 [[package]]
-name = "importlib-metadata"
-version = "8.7.0"
-description = "Read metadata from Python packages"
+name = "imageio"
+version = "2.37.0"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-zipp = ">=3.20"
+numpy = "*"
+pillow = ">=8.3.2"
 
 [package.extras]
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-type = ["pytest-mypy"]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+build = ["wheel"]
+dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
+ffmpeg = ["imageio-ffmpeg", "psutil"]
+fits = ["astropy"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
+gdal = ["gdal"]
+itk = ["itk"]
+linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
+pyav = ["av"]
+rawpy = ["numpy (>2)", "rawpy"]
+test = ["fsspec[github]", "pytest", "pytest-cov"]
+tifffile = ["tifffile"]
 
 [[package]]
 name = "inquirerpy"
@@ -2246,108 +1830,6 @@ prompt-toolkit = ">=3.0.1,<4.0.0"
 [package.extras]
 docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
 
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-python-versions = ">=3.7"
-groups = ["main"]
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-
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-groups = ["main"]
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-jedi = ">=0.16"
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-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
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-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
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-
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-
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-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
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-
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-version = "1.1.1"
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-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
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-
 [[package]]
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 version = "2.2.0"
@@ -2360,26 +1842,6 @@ files = [
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-description = "An autocompletion tool for Python that can be used for text editors."
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
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-
-[package.dependencies]
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 [[package]]
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@@ -2637,73 +2062,24 @@ files = [
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-
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-html-clean = ["lxml_html_clean"]
-html5 = ["html5lib"]
-htmlsoup = ["BeautifulSoup4"]
-
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -2988,21 +2254,6 @@ python-dateutil = ">=2.7"
 [package.extras]
 dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
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-python-versions = ">=3.8"
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-
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -3017,17 +2268,17 @@ files = [
 
 [[package]]
 name = "mineru"
-version = "2.1.11"
+version = "2.2.2"
 description = "A practical tool for converting PDF to Markdown"
 optional = false
 python-versions = "<3.14,>=3.10"
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 boto3 = ">=1.28.43"
 click = ">=8.1.7"
 dill = {version = ">=0.3.8,<1", optional = true, markers = "extra == \"pipeline\""}
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 numpy = ">=1.21.6"
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 "pdfminer.six" = "20250506"
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 reportlab = "*"
 requests = "*"
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-torch = {version = ">=2.6.0,<3", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
+torch = {version = ">=2.6.0,<2.8.0", optional = true, markers = "extra == \"pipeline\""}
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 tqdm = ">=4.67.1"
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 ultralytics = {version = ">=8.3.48,<9", optional = true, markers = "extra == \"pipeline\""}
 
 [package.extras]
@@ -3068,91 +2318,11 @@ all = ["mineru[core]", "mineru[sglang]"]
 api = ["fastapi", "python-multipart", "uvicorn"]
 core = ["mineru[api]", "mineru[gradio]", "mineru[pipeline]", "mineru[vlm]"]
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 vlm = ["accelerate (>=1.5.1)", "pydantic", "torch (>=2.6.0)", "transformers (>=4.51.1)"]
 
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-
 [[package]]
 name = "numpy"
 version = "2.2.6"
@@ -3632,6 +2676,7 @@ description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
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@@ -3691,6 +2736,7 @@ description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
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 [package.dependencies]
 nvidia-cublas-cu12 = "*"
 
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-
 [[package]]
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 version = "11.3.0.4"
@@ -3829,18 +2848,6 @@ files = [
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-
 [[package]]
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 version = "2.26.2"
@@ -3868,18 +2875,6 @@ files = [
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-
 [[package]]
 name = "nvidia-nvtx-cu12"
 version = "12.6.77"
@@ -4107,89 +3102,6 @@ files = [
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-groups = ["main"]
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-requests = "*"
-torch = "*"
-tqdm = "*"
-typing_extensions = "*"
-
-[package.extras]
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-llamacpp = ["datasets", "llama-cpp-python", "numpy (<2)", "transformers"]
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-serve = ["fastapi", "pydantic (>=2.0)", "uvicorn", "vllm (>=0.3.0)"]
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-
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-
-[package.extras]
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-
 [[package]]
 name = "packaging"
 version = "25.0"
@@ -4311,37 +3223,6 @@ all = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "invoke (>=2.0)", "p
 gssapi = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8) ; platform_system == \"Windows\""]
 invoke = ["invoke (>=2.0)"]
 
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-python-versions = ">=3.6"
-groups = ["main"]
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-testing = ["docopt", "pytest"]
-
-[[package]]
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-description = "Parse partial JSON generated by LLM"
-optional = false
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@@ -7913,6 +5637,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
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 python-versions = ">=3.8.0"
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-    {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9c770750cc80e8694492244bca7251385188bc5597b6a39d98a9f30e8da984e0"},
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-    {file = "xxhash-3.5.0.tar.gz", hash = "sha256:84f2caddf951c9cbf8dc2e22a89d4ccf5d86391ac6418fe81e3c67d0cf60b45f"},
-]
-
 [[package]]
 name = "yarl"
 version = "1.20.1"
@@ -8524,27 +6071,7 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
-[[package]]
-name = "zipp"
-version = "3.23.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
-    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "0774a565df2c2706cf0537b73ff812b44935377e72af532d37a600f8cc431d5e"
+content-hash = "a1d1912e2e9cdfe9ed9f7ba5172dbfd4c8535ed466f761147d7e53edbaa48c86"
diff --git a/pyproject.toml b/pyproject.toml
index 79040aa..7f93b4b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "mineru[pipeline] (>=2.1.11,<3.0.0)",
+    "mineru[pipeline] (>=2.2.2,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)",
     "pypdf (>=4.2.0,<6.0.0)"
 ]

From 1dafd283f2058547b4252e4b540a4cbac592a9d1 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Thu, 18 Sep 2025 17:22:54 +0300
Subject: [PATCH 11/16] fix

---
 poetry.lock    | 2665 +++++++++++++++++++++++++++++++++++++++++++++++-
 pyproject.toml |    2 +-
 2 files changed, 2660 insertions(+), 7 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index b22de25..34ccec0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,38 @@
 # This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
+[[package]]
+name = "accelerate"
+version = "1.10.1"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.9.0"
+groups = ["main"]
+files = [
+    {file = "accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11"},
+    {file = "accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "swanlab", "tensorboard", "trackio", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
 [[package]]
 name = "aiodns"
 version = "3.5.0"
@@ -169,6 +202,18 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "airportsdata"
+version = "20250909"
+description = "Extensive database of location and timezone data for nearly every airport and landing strip in the world."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "airportsdata-20250909-py3-none-any.whl", hash = "sha256:ce7dc6e1485afe3915e708212c7024ad158470c1c934e6a6cb217cf28b798ac7"},
+    {file = "airportsdata-20250909.tar.gz", hash = "sha256:f39974fe1101817ced4ccf7c6ed336408469e5e778395d0a3e7a5112ec298f90"},
+]
+
 [[package]]
 name = "albucore"
 version = "0.0.24"
@@ -224,6 +269,33 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
+[[package]]
+name = "anthropic"
+version = "0.68.0"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "anthropic-0.68.0-py3-none-any.whl", hash = "sha256:ac579ea5eca22a7165b1042e6af57c4bf556e51afae3ca80e24768d4756b78c0"},
+    {file = "anthropic-0.68.0.tar.gz", hash = "sha256:507e9b5f627d1b249128ff15b21855e718fa4ed8dabc787d0e68860a4b32a7a8"},
+]
+
+[package.dependencies]
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+docstring-parser = ">=0.15,<1"
+httpx = ">=0.25.0,<1"
+jiter = ">=0.4.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+typing-extensions = ">=4.10,<5"
+
+[package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth[requests] (>=2,<3)"]
+
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -258,6 +330,22 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "asttokens"
+version = "3.0.0"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
+    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
+]
+
+[package.extras]
+astroid = ["astroid (>=2,<4)"]
+test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -391,6 +479,24 @@ charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
+[[package]]
+name = "blobfile"
+version = "3.0.0"
+description = "Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile"
+optional = false
+python-versions = ">=3.8.0"
+groups = ["main"]
+files = [
+    {file = "blobfile-3.0.0-py3-none-any.whl", hash = "sha256:48ecc3307e622804bd8fe13bf6f40e6463c4439eba7a1f9ad49fd78aa63cc658"},
+    {file = "blobfile-3.0.0.tar.gz", hash = "sha256:32ec777414de7bb2a76ca812a838f0d33327ca28ae844a253503cde625cdf2f1"},
+]
+
+[package.dependencies]
+filelock = ">=3.0"
+lxml = ">=4.9"
+pycryptodomex = ">=3.8"
+urllib3 = ">=1.25.3,<3"
+
 [[package]]
 name = "boto3"
 version = "1.38.37"
@@ -608,6 +714,29 @@ files = [
 [package.dependencies]
 cffi = ">=1.0.0"
 
+[[package]]
+name = "build"
+version = "1.3.0"
+description = "A simple, correct Python build frontend"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "build-1.3.0-py3-none-any.whl", hash = "sha256:7145f0b5061ba90a1500d60bd1b13ca0a8a4cebdd0cc16ed8adf1c0e739f43b4"},
+    {file = "build-1.3.0.tar.gz", hash = "sha256:698edd0ea270bde950f53aed21f3a0135672206f3911e0176261a31e0e07b397"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "os_name == \"nt\""}
+importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
+packaging = ">=19.1"
+pyproject_hooks = "*"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.11) ; python_version < \"3.10\"", "virtualenv (>=20.17) ; python_version >= \"3.10\" and python_version < \"3.14\"", "virtualenv (>=20.31) ; python_version >= \"3.14\""]
+
 [[package]]
 name = "certifi"
 version = "2025.6.15"
@@ -829,6 +958,18 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "3.1.1"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e"},
+    {file = "cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -877,6 +1018,28 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 [package.extras]
 development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
+[[package]]
+name = "compressed-tensors"
+version = "0.11.0"
+description = "Library for utilization of compressed safetensors of neural network models"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "compressed_tensors-0.11.0-py3-none-any.whl", hash = "sha256:e1cbc46e1ae032b7ceea915fe18c8d2de5a54d3a50a607969b6bdfe703b6cb83"},
+    {file = "compressed_tensors-0.11.0.tar.gz", hash = "sha256:95ddf19699f775df6494dd864e5f52e8a24f8015496520190c1a22c6cfc44b1f"},
+]
+
+[package.dependencies]
+frozendict = "*"
+pydantic = ">=2.0"
+torch = ">=1.7.0"
+transformers = "*"
+
+[package.extras]
+accelerate = ["accelerate"]
+dev = ["black (==22.12.0)", "flake8 (>=3.8.3)", "isort (==5.8.0)", "nbconvert (>=7.16.3)", "pytest (>=6.0.0)", "wheel (>=0.36.2)"]
+
 [[package]]
 name = "contourpy"
 version = "1.3.2"
@@ -1014,6 +1177,74 @@ ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
+[[package]]
+name = "cuda-bindings"
+version = "13.0.1"
+description = "Python bindings for CUDA"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "cuda_bindings-13.0.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce84f17afe0a0381583b82d1665dc27bc1f28c51454449847facaed6f52a6c00"},
+    {file = "cuda_bindings-13.0.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:81a063e7e8b1da115797748bcd7f1f5282fb93f8c2717d870b90cf68e9a58edb"},
+    {file = "cuda_bindings-13.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:8c7c7b4a2159512de02a50cfab218f197aeba9514977901a1e8b2ed26f828500"},
+    {file = "cuda_bindings-13.0.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5b56b5267ad123a12bc2fb5005c226c8e998f29ceb7aee24ac3ad13d8b0db59a"},
+    {file = "cuda_bindings-13.0.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:92f0ca5bed7a0fcc4245a4d471a04d5dcd08b14f06d3c1404381f15975d778dd"},
+    {file = "cuda_bindings-13.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:7620b8dfc234d55c3c819ac23117db628bd6eec2a99fb128ca238146b5c95fb5"},
+    {file = "cuda_bindings-13.0.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a06268a4226c867a7234f12ca183e186e7962a4971b53983c8de182dd62878a3"},
+    {file = "cuda_bindings-13.0.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:12dd61b782b1558ac3e3790a02e3d9dc4827c6702a3315a9b79b5e1f6bed30f2"},
+    {file = "cuda_bindings-13.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:06b4533e43c65bf2422db25eb86cd0813a818a2e3cb4b793f4afbdb2f801d894"},
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+]
+
+[package.dependencies]
+cuda-pathfinder = ">=1.1,<2.0"
+pywin32 = {version = "*", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+all = ["nvidia-cuda-nvcc (>=13.0,<14.0)", "nvidia-cuda-nvrtc (>=13.0,<14.0)", "nvidia-cufile ; sys_platform == \"linux\"", "nvidia-nvjitlink (>=13.0,<14.0)", "nvidia-nvvm (>=13.0,<14.0)"]
+test = ["cython (>=3.0,<3.1.0)", "llvmlite", "numpy (>=1.21.1)", "pytest (>=6.2.4)", "pytest-benchmark (>=3.4.1)", "setuptools (>=77.0.0)"]
+
+[[package]]
+name = "cuda-pathfinder"
+version = "1.2.3"
+description = "Pathfinder for CUDA components"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "cuda_pathfinder-1.2.3-py3-none-any.whl", hash = "sha256:e6cf54d550441e878002d9ec9d280863ef0d6bb2bd8f52ca01582a5f381eace4"},
+]
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+[package.extras]
+test = ["pytest (>=6.2.4)"]
+test-nvidia-wheels-cu12 = ["cuda-toolkit[cccl,cublas,cudart,cufft,curand,cusolver,cusparse,npp,nvcc,nvfatbin,nvjitlink,nvjpeg,nvrtc] (==12.*)", "cuda-toolkit[cufile] (==12.*) ; sys_platform != \"win32\"", "nvidia-cudss-cu12", "nvidia-cufftmp-cu12 ; sys_platform != \"win32\"", "nvidia-libmathdx-cu12", "nvidia-nccl-cu12 ; sys_platform != \"win32\"", "nvidia-nvshmem-cu12 ; sys_platform != \"win32\""]
+test-nvidia-wheels-cu13 = ["cuda-toolkit[cccl,cublas,cudart,cufft,curand,cusolver,cusparse,npp,nvcc,nvfatbin,nvjitlink,nvjpeg,nvrtc,nvvm] (==13.*)", "cuda-toolkit[cufile] (==13.*) ; sys_platform != \"win32\"", "nvidia-nccl-cu13 ; sys_platform != \"win32\"", "nvidia-nvshmem-cu13 ; sys_platform != \"win32\""]
+test-nvidia-wheels-host = ["nvpl-fft ; platform_system == \"Linux\" and platform_machine == \"aarch64\""]
+
+[[package]]
+name = "cuda-python"
+version = "13.0.1"
+description = "CUDA Python: Performance meets Productivity"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "cuda_python-13.0.1-py3-none-any.whl", hash = "sha256:9d8c021953cfbb2c1916a3977c04ad23846cc8ac7647916cb6a1bf4f3280412c"},
+]
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+[package.dependencies]
+cuda-bindings = ">=13.0.1,<13.1.0"
+cuda-pathfinder = ">=1.1,<2.0"
+
+[package.extras]
+all = ["cuda-bindings[all] (>=13.0.1,<13.1.0)"]
+
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -1030,6 +1261,78 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
+[[package]]
+name = "datasets"
+version = "4.1.1"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = ">=3.9.0"
+groups = ["main"]
+files = [
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+    {file = "datasets-4.1.1.tar.gz", hash = "sha256:7d8d5ba8b12861d2c44bfff9c83484ebfafff1ff553371e5901a8d3aab5450e2"},
+]
+
+[package.dependencies]
+dill = ">=0.3.0,<0.4.1"
+filelock = "*"
+fsspec = {version = ">=2023.1.0,<=2025.9.0", extras = ["http"]}
+huggingface-hub = ">=0.24.0"
+multiprocess = "<0.70.17"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=21.0.0"
+pyyaml = ">=5.1"
+requests = ">=2.32.2"
+tqdm = ">=4.66.3"
+xxhash = "*"
+
+[package.extras]
+audio = ["torch (>=2.8.0)", "torchcodec (>=0.6.0)"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"]
+docs = ["tensorflow (>=2.6.0)", "torch", "transformers"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
+pdfs = ["pdfplumber (>=0.11.4)"]
+quality = ["ruff (>=0.3.0)"]
+tensorflow = ["tensorflow (>=2.6.0)"]
+tensorflow-gpu = ["tensorflow (>=2.6.0)"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=9.4.0)"]
+
+[[package]]
+name = "decorator"
+version = "5.2.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
+    {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
+]
+
+[[package]]
+name = "decord"
+version = "0.6.0"
+description = "Decord Video Loader"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "decord-0.6.0-cp36-cp36m-macosx_10_15_x86_64.whl", hash = "sha256:85ef90d2f872384657d7774cc486c237c5b12df62d4ac5cb5c8d6001fa611323"},
+    {file = "decord-0.6.0-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:9c20674964fb1490c677bd911d2023d2a09fec7a58a4bb0b7ddf1ccc269f107a"},
+    {file = "decord-0.6.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:a0eb1258beade34dceb29d97856a7764d179db1b5182899b61874f3418a1abc8"},
+    {file = "decord-0.6.0-py3-none-manylinux2010_x86_64.whl", hash = "sha256:51997f20be8958e23b7c4061ba45d0efcd86bffd5fe81c695d0befee0d442976"},
+    {file = "decord-0.6.0-py3-none-win_amd64.whl", hash = "sha256:02665d7c4f1193a330205a791bc128f7e108eb6ae5b67144437a02f700943bad"},
+]
+
+[package.dependencies]
+numpy = ">=1.14.0"
+
 [[package]]
 name = "dill"
 version = "0.4.0"
@@ -1046,6 +1349,18 @@ files = [
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
+[[package]]
+name = "diskcache"
+version = "5.6.3"
+description = "Disk Cache -- Disk and file backed persistent cache."
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+files = [
+    {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
+    {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -1115,6 +1430,35 @@ export = ["coremltools (>=7.0) ; platform_system != \"Windows\" and python_versi
 extra = ["albumentations (>=1.0.3)", "hub-sdk (>=0.0.5)", "ipython", "pycocotools (>=2.0.7)"]
 logging = ["comet", "dvclive (>=2.12.0)", "tensorboard (>=2.13.0)"]
 
+[[package]]
+name = "docstring-parser"
+version = "0.17.0"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"},
+    {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"},
+]
+
+[package.extras]
+dev = ["pre-commit (>=2.16.0) ; python_version >= \"3.9\"", "pydoctor (>=25.4.0)", "pytest"]
+docs = ["pydoctor (>=25.4.0)"]
+test = ["pytest"]
+
+[[package]]
+name = "einops"
+version = "0.8.1"
+description = "A new flavour of deep learning operations"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"},
+    {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"},
+]
+
 [[package]]
 name = "email-validator"
 version = "2.2.0"
@@ -1150,6 +1494,21 @@ typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
+version = "2.2.1"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"},
+    {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"},
+]
+
+[package.extras]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
+
 [[package]]
 name = "fast-langdetect"
 version = "0.2.5"
@@ -1324,6 +1683,29 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
 typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
+[[package]]
+name = "flashinfer-python"
+version = "0.2.9rc1"
+description = "FlashInfer: Kernel Library for LLM Serving"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "flashinfer_python-0.2.9rc1.tar.gz", hash = "sha256:eb75937fc8fa86fe5dbf98bec5b31afab65d43fde53373ad872390afef89228a"},
+]
+
+[package.dependencies]
+cuda-python = "*"
+einops = "*"
+ninja = "*"
+numpy = "*"
+nvidia-cudnn-cu12 = "*"
+nvidia-cudnn-frontend = "*"
+nvidia-nvshmem-cu12 = "*"
+pynvml = "*"
+requests = "*"
+torch = "*"
+
 [[package]]
 name = "flatbuffers"
 version = "25.2.10"
@@ -1402,6 +1784,55 @@ ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""]
 woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
+[[package]]
+name = "frozendict"
+version = "2.4.6"
+description = "A simple immutable dictionary"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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+    {file = "frozendict-2.4.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f5b94d5b07c00986f9e37a38dd83c13f5fe3bf3f1ccc8e88edea8fe15d6cd88c"},
+    {file = "frozendict-2.4.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4c789fd70879ccb6289a603cdebdc4953e7e5dea047d30c1b180529b28257b5"},
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+]
+
 [[package]]
 name = "frozenlist"
 version = "1.7.0"
@@ -1528,6 +1959,9 @@ files = [
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+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -1583,6 +2017,41 @@ files = [
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 ]
 
+[[package]]
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+version = "0.1.9"
+description = "Speed up file transfers with the Hugging Face Hub."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "hf-xet"
 version = "1.1.4"
@@ -1811,6 +2280,30 @@ rawpy = ["numpy (>2)", "rawpy"]
 test = ["fsspec[github]", "pytest", "pytest-cov"]
 tifffile = ["tifffile"]
 
+[[package]]
+name = "importlib-metadata"
+version = "8.7.0"
+description = "Read metadata from Python packages"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
+]
+
+[package.dependencies]
+zipp = ">=3.20"
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+perf = ["ipython"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
 [[package]]
 name = "inquirerpy"
 version = "0.3.4"
@@ -1830,6 +2323,108 @@ prompt-toolkit = ">=3.0.1,<4.0.0"
 [package.extras]
 docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
 
+[[package]]
+name = "interegular"
+version = "0.3.3"
+description = "a regex intersection checker"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+    {file = "interegular-0.3.3.tar.gz", hash = "sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600"},
+]
+
+[[package]]
+name = "ipython"
+version = "8.37.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "ipython-8.37.0-py3-none-any.whl", hash = "sha256:ed87326596b878932dbcb171e3e698845434d8c61b8d8cd474bf663041a9dcf2"},
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+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt_toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack_data = "*"
+traitlets = ">=5.13.0"
+typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
+kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
+name = "ipython"
+version = "9.5.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.11"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
+files = [
+    {file = "ipython-9.5.0-py3-none-any.whl", hash = "sha256:88369ffa1d5817d609120daa523a6da06d02518e582347c29f8451732a9c5e72"},
+    {file = "ipython-9.5.0.tar.gz", hash = "sha256:129c44b941fe6d9b82d36fc7a7c18127ddb1d6f02f78f867f402e2e3adde3113"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+ipython-pygments-lexers = "*"
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt_toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack_data = "*"
+traitlets = ">=5.13.0"
+typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[doc,matplotlib,test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
+matplotlib = ["matplotlib"]
+test = ["packaging", "pytest", "pytest-asyncio", "testpath"]
+test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
+name = "ipython-pygments-lexers"
+version = "1.1.1"
+description = "Defines a variety of Pygments lexers for highlighting IPython code."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version >= \"3.11\""
+files = [
+    {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
+    {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
+]
+
+[package.dependencies]
+pygments = "*"
+
 [[package]]
 name = "itsdangerous"
 version = "2.2.0"
@@ -1842,6 +2437,26 @@ files = [
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
 ]
 
+[[package]]
+name = "jedi"
+version = "0.19.2"
+description = "An autocompletion tool for Python that can be used for text editors."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
+    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
+]
+
+[package.dependencies]
+parso = ">=0.8.4,<0.9.0"
+
+[package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
+
 [[package]]
 name = "jinja2"
 version = "3.1.6"
@@ -1971,6 +2586,43 @@ files = [
     {file = "json_repair-0.46.2.tar.gz", hash = "sha256:4c81154d61c028ca3750b451472dbb33978f2ee6f44be84c42b444b03d9f4b16"},
 ]
 
+[[package]]
+name = "jsonschema"
+version = "4.25.1"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+    {file = "jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85"},
+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+jsonschema-specifications = ">=2023.03.6"
+referencing = ">=0.28.4"
+rpds-py = ">=0.7.1"
+
+[package.extras]
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+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.9.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+referencing = ">=0.31.0"
+
 [[package]]
 name = "kiwisolver"
 version = "1.4.8"
@@ -2061,6 +2713,24 @@ files = [
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+[[package]]
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+description = "a modern parsing library"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+[package.extras]
+atomic-cache = ["atomicwrites"]
+interegular = ["interegular (>=0.3.1,<0.4.0)"]
+nearley = ["js2py"]
+regex = ["regex"]
+
 [[package]]
 name = "lazy-loader"
 version = "0.4"
@@ -2081,6 +2751,57 @@ dev = ["changelist (==0.5)"]
 lint = ["pre-commit (==3.7.0)"]
 test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 
+[[package]]
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+description = "Library to easily interface with LLM API providers"
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+pydantic = ">=2.5.0,<3.0.0"
+python-dotenv = ">=0.2.0"
+tiktoken = ">=0.7.0"
+tokenizers = "*"
+
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+utils = ["numpydoc"]
+
+[[package]]
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+description = "Bindings for the Low-level Guidance (llguidance) Rust library for use within Guidance"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+]
+
 [[package]]
 name = "loguru"
 version = "0.7.3"
@@ -2100,6 +2821,138 @@ win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
 [package.extras]
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+python-versions = ">=3.8"
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+
+[package.extras]
+cssselect = ["cssselect (>=0.7)"]
+html-clean = ["lxml_html_clean"]
+html5 = ["html5lib"]
+htmlsoup = ["BeautifulSoup4"]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -2254,6 +3107,21 @@ python-dateutil = ">=2.7"
 [package.extras]
 dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.7"
+description = "Inline Matplotlib backend for Jupyter"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+traitlets = "*"
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -2278,6 +3146,7 @@ files = [
 ]
 
 [package.dependencies]
+accelerate = {version = ">=1.5.1", optional = true, markers = "extra == \"vlm\""}
 beautifulsoup4 = ">=4.13.5,<5"
 boto3 = ">=1.28.43"
 click = ">=8.1.7"
@@ -2300,17 +3169,19 @@ opencv-python = ">=4.11.0.86"
 pdftext = ">=0.6.2"
 pillow = ">=11.0.0"
 pyclipper = {version = ">=1.3.0,<2", optional = true, markers = "extra == \"pipeline\""}
+pydantic = {version = "*", optional = true, markers = "extra == \"vlm\""}
 pypdf = ">=5.6.0"
 pypdfium2 = ">=4.30.0"
 PyYAML = {version = ">=6.0.2,<7", optional = true, markers = "extra == \"pipeline\""}
 reportlab = "*"
 requests = "*"
 scikit-image = ">=0.25.0,<1.0.0"
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-torch = {version = ">=2.6.0,<2.8.0", optional = true, markers = "extra == \"pipeline\""}
+torch = {version = ">=2.6.0,<2.8.0", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 torchvision = {version = "*", optional = true, markers = "extra == \"pipeline\""}
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-transformers = {version = ">=4.49.0,<4.51.0 || >4.51.0,<5.0.0", optional = true, markers = "extra == \"pipeline\""}
+transformers = {version = ">=4.51.1,<5.0.0", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 ultralytics = {version = ">=8.3.48,<9", optional = true, markers = "extra == \"pipeline\""}
 
 [package.extras]
@@ -2323,6 +3194,85 @@ sglang = ["sglang[all] (>=0.4.7,<0.4.11)"]
 test = ["coverage", "fuzzywuzzy", "mineru[core]", "pytest", "pytest-cov"]
 vlm = ["accelerate (>=1.5.1)", "pydantic", "torch (>=2.6.0)", "transformers (>=4.51.1)"]
 
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+
+[package.extras]
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+train = ["datasets", "tqdm"]
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 tests = ["pytest (>=4.6)"]
 
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+
 [[package]]
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 version = "6.5.0"
@@ -2498,6 +3501,43 @@ files = [
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 typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
+[[package]]
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+python-versions = ">=3.5"
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 [[package]]
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@@ -2541,6 +3581,35 @@ extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.1
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
 test-extras = ["pytest-mpl", "pytest-randomly"]
 
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+    {file = "ninja-1.13.0.tar.gz", hash = "sha256:4a40ce995ded54d9dc24f8ea37ff3bf62ad192b547f6c7126e7e25045e76f978"},
+]
+
 [[package]]
 name = "numpy"
 version = "2.2.6"
@@ -2676,7 +3745,6 @@ description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb"},
     {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668"},
@@ -2736,7 +3804,6 @@ description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def"},
     {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2"},
@@ -2746,6 +3813,31 @@ files = [
 [package.dependencies]
 nvidia-cublas-cu12 = "*"
 
+[[package]]
+name = "nvidia-cudnn-frontend"
+version = "1.14.1"
+description = "CUDNN FrontEnd python library"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "nvidia_cudnn_frontend-1.14.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:aa67d5df87bdeebafb319819bd465705965ecb498e89900690336445449ab69e"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:401df2ccb2d99dce2984c9c7e853a2887eff9c1e7b2ee13e64cc27718335d9b9"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:89b8b1b07b0a41bd191d5cc5aba057b5885f21f51062b9cc937fa83d697197a2"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ba8aa29c782f02c494c7ea6cd49d2ae9047b9597cc4a55c4b6b592f474d59c50"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a41008635559f223257e78b7b1d6c26b6f7f8742a56b2a0cc3341d1b3ad81b66"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:96ef4fbcbc379993ef7b5d1b937ce3d0bf791d602b48f42cb2be501e6050a47d"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e0ce7782785e84fe2f42704176ecbf061d0e97178556f88cf7ec263a5c9c19"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c19a41a1b06f9d087e18cb4f2ca25208ae9423967e7009aba5dd2c3912558b4a"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:870edc1284319882b9c0d637e7a5e79198f65d84f2c37e931fcc790a6f6c055b"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:18ed95eed3dc6808c5feb76b477136de012f47c081100290cb07bd75e0ca92fd"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56426b68d5d70a787b9c584e41f4c044466d56464d086270bcd4504f91521935"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:2cf16cbdba247dd983cde277f9ce111be0e4bc3148468bc2d496500336c2d76a"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce088168c30f65205ede8ecc2a99db4475697cd7e84e0e49a9b7fce92dacae81"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318a8e029dd5e532b1a2fc8db8cd6a0193c5598d39147050bea941287fc9062f"},
+    {file = "nvidia_cudnn_frontend-1.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:e834362bfde88a36a3cbffaf271ad05a57ac94ce3165a6e326908c1d67a42ba4"},
+]
+
 [[package]]
 name = "nvidia-cufft-cu12"
 version = "11.3.0.4"
@@ -2848,6 +3940,18 @@ files = [
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-win_amd64.whl", hash = "sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7"},
 ]
 
+[[package]]
+name = "nvidia-ml-py"
+version = "13.580.82"
+description = "Python Bindings for the NVIDIA Management Library"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "nvidia_ml_py-13.580.82-py3-none-any.whl", hash = "sha256:4361db337b0c551e2d101936dae2e9a60f957af26818e8c0c3a1f32b8db8d0a7"},
+    {file = "nvidia_ml_py-13.580.82.tar.gz", hash = "sha256:0c028805dc53a0e2a6985ea801888197765ac2ef8f1c9e29a7bf0d3616a5efc7"},
+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
 version = "2.26.2"
@@ -2875,6 +3979,18 @@ files = [
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
 ]
 
+[[package]]
+name = "nvidia-nvshmem-cu12"
+version = "3.4.5"
+description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters."
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+files = [
+    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b48363fc6964dede448029434c6abed6c5e37f823cb43c3bcde7ecfc0457e15"},
+    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd"},
+]
+
 [[package]]
 name = "nvidia-nvtx-cu12"
 version = "12.6.77"
@@ -3102,6 +4218,89 @@ files = [
     {file = "orjson-3.10.18.tar.gz", hash = "sha256:e8da3947d92123eda795b68228cafe2724815621fe35e8e320a9e9593a4bcd53"},
 ]
 
+[[package]]
+name = "outlines"
+version = "0.1.11"
+description = "Probabilistic Generative Model Programming"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "outlines-0.1.11-py3-none-any.whl", hash = "sha256:f5a5f2242ed9802d3aab7a92789bf4008d734c576be9258cc0a297f690124727"},
+    {file = "outlines-0.1.11.tar.gz", hash = "sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba"},
+]
+
+[package.dependencies]
+airportsdata = "*"
+cloudpickle = "*"
+diskcache = "*"
+interegular = "*"
+jinja2 = "*"
+jsonschema = "*"
+lark = "*"
+nest_asyncio = "*"
+numpy = "*"
+outlines_core = "0.1.26"
+pycountry = "*"
+pydantic = ">=2.0"
+referencing = "*"
+requests = "*"
+torch = "*"
+tqdm = "*"
+typing_extensions = "*"
+
+[package.extras]
+exllamav2 = ["exllamav2"]
+llamacpp = ["datasets", "llama-cpp-python", "numpy (<2)", "transformers"]
+mlxlm = ["datasets", "mlx-lm"]
+openai = ["openai"]
+serve = ["fastapi", "pydantic (>=2.0)", "uvicorn", "vllm (>=0.3.0)"]
+test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "exllamav2", "huggingface_hub", "jax", "llama-cpp-python", "mlx-lm (>=0.19.2) ; platform_machine == \"arm64\" and sys_platform == \"darwin\"", "openai (>=1.0.0)", "pillow", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers", "vllm ; sys_platform != \"darwin\""]
+transformers = ["accelerate", "datasets", "numpy (<2)", "transformers"]
+vllm = ["numpy (<2)", "transformers", "vllm"]
+
+[[package]]
+name = "outlines-core"
+version = "0.1.26"
+description = "Structured Text Generation in Rust"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "outlines_core-0.1.26-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:6a962a7452e7ac170fa04d405342cadae2d28fafa5b1830cef7aa610257ed32f"},
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+    {file = "outlines_core-0.1.26-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64e01c0cfa9ba371634d7c3f6ea1862397cef98e4509fe98e3f57faa721a72d6"},
+    {file = "outlines_core-0.1.26-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3c4196148e47f455f1ace78e329d5b97e531cbc406456d681592952adae7e17"},
+    {file = "outlines_core-0.1.26-cp310-cp310-win32.whl", hash = "sha256:f38d290a7f6e5e12cbfcaee03269dfc0dbda49b360024b4279d1aba251fdc346"},
+    {file = "outlines_core-0.1.26-cp310-cp310-win_amd64.whl", hash = "sha256:11ff56af56cb54c563b7f25d86cd9ee77f3fed825f1d4dccd9449bb1e4e89538"},
+    {file = "outlines_core-0.1.26-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b6787b07b7c673fc3087d2b537719ecac8e03b10a47d032dd1926985c32885b0"},
+    {file = "outlines_core-0.1.26-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e0ea28a76da31d25b6f53242bf13e1b59a0241badf82353c88f55e1cf81b128"},
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+    {file = "outlines_core-0.1.26-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a84b7cd2fb6268bf990dd3d479ffb4fa0bace6f571cb85b15b6cdb44b84f5b69"},
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+    {file = "outlines_core-0.1.26-cp311-cp311-win_amd64.whl", hash = "sha256:3f59aeccea21ed6ff3cf52102fd163f26d279821c20e5127ddd18d4ea4d0c8d2"},
+    {file = "outlines_core-0.1.26-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f54633bca50055d42ea4d94ae06dcbe52d3d76a9b621b75723b1177d0d952953"},
+    {file = "outlines_core-0.1.26-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9525321b48700dcaaabf60bcdc951e45f9357ba3fb3e1bfc81b662d7d4170e7c"},
+    {file = "outlines_core-0.1.26-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00f409f72c11f6ffadb57066950dd384d5388015028c1a1a615c9a64988dae3e"},
+    {file = "outlines_core-0.1.26-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e86a1bb46adc5cbf6dfd7a7fe4105e0e2a4c6e041732a053126b41c521a1f223"},
+    {file = "outlines_core-0.1.26-cp312-cp312-win32.whl", hash = "sha256:19f462f6b00935708677ad27cb4df55e0e17f6ffe713ab750f5f2683b090f95d"},
+    {file = "outlines_core-0.1.26-cp312-cp312-win_amd64.whl", hash = "sha256:9b36bff12779e58883747116893a17b3551bbd10865878b951b03a44d112229a"},
+    {file = "outlines_core-0.1.26-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:7b7849cf40028319ebb9d8ba0fe4c590ef5888eebe524a81b3af30aaa06ea21c"},
+    {file = "outlines_core-0.1.26-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2f8641aab4a6bd84516907492ce82099503129da01b3c29c1dc9ad50320bae77"},
+    {file = "outlines_core-0.1.26-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bba56604efdbc5932c7a8a88c2b8b0d0c740ab883b0012fb5464a9736796802b"},
+    {file = "outlines_core-0.1.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc8c87d89bd267356f8149c9066cbb98970425ec162997fbf195c3f1feb7009"},
+    {file = "outlines_core-0.1.26-cp39-cp39-win32.whl", hash = "sha256:9d792a43ed9d8a4e1b38f4d83fe99db442d57aad4404c2edf98b710892eda47e"},
+    {file = "outlines_core-0.1.26-cp39-cp39-win_amd64.whl", hash = "sha256:ad8564ecd7b64bcb840596c5049ff1c1a96346de494302ffcc0f2b188c15675e"},
+    {file = "outlines_core-0.1.26.tar.gz", hash = "sha256:481c4301341e77cc8f1832d616784adb4d461b4fec65878e7c0d2cba7163a189"},
+]
+
+[package.dependencies]
+interegular = "*"
+jsonschema = "*"
+
+[package.extras]
+test = ["accelerate", "asv", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface_hub", "numpy", "pillow", "pre-commit", "psutil", "pydantic", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "scipy", "setuptools-rust", "torch", "transformers"]
+
 [[package]]
 name = "packaging"
 version = "25.0"
@@ -3223,6 +4422,37 @@ all = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "invoke (>=2.0)", "p
 gssapi = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8) ; platform_system == \"Windows\""]
 invoke = ["invoke (>=2.0)"]
 
+[[package]]
+name = "parso"
+version = "0.8.5"
+description = "A Python Parser"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "parso-0.8.5-py2.py3-none-any.whl", hash = "sha256:646204b5ee239c396d040b90f9e272e9a8017c630092bf59980beb62fd033887"},
+    {file = "parso-0.8.5.tar.gz", hash = "sha256:034d7354a9a018bdce352f48b2a8a450f05e9d6ee85db84764e9b6bd96dafe5a"},
+]
+
+[package.extras]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["docopt", "pytest"]
+
+[[package]]
+name = "partial-json-parser"
+version = "0.2.1.1.post6"
+description = "Parse partial JSON generated by LLM"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "partial_json_parser-0.2.1.1.post6-py3-none-any.whl", hash = "sha256:abc332f09b13ef5233384dbfe7128a0e9ea3fa4b8f8be9b37ac1b433c810e99e"},
+    {file = "partial_json_parser-0.2.1.1.post6.tar.gz", hash = "sha256:43896b68929678224cbbe4884a6a5fe9251ded4b30b8b7d7eb569e5feea93afc"},
+]
+
+[package.extras]
+playground = ["rich"]
+
 [[package]]
 name = "pdfminer-six"
 version = "20250506"
@@ -3262,6 +4492,22 @@ pydantic = ">=2.7.1,<3.0.0"
 pydantic-settings = ">=2.2.1,<3.0.0"
 pypdfium2 = "4.30.0"
 
+[[package]]
+name = "pexpect"
+version = "4.9.0"
+description = "Pexpect allows easy control of interactive console applications."
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
+files = [
+    {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
+    {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
+]
+
+[package.dependencies]
+ptyprocess = ">=0.5"
+
 [[package]]
 name = "pfzy"
 version = "0.3.4"
@@ -3395,6 +4641,21 @@ wcwidth = "*"
 [package.extras]
 tests = ["pytest", "pytest-cov", "pytest-lazy-fixtures"]
 
+[[package]]
+name = "prometheus-client"
+version = "0.22.1"
+description = "Python client for the Prometheus monitoring system."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "prometheus_client-0.22.1-py3-none-any.whl", hash = "sha256:cca895342e308174341b2cbf99a56bef291fbc0ef7b9e5412a0f26d653ba7094"},
+    {file = "prometheus_client-0.22.1.tar.gz", hash = "sha256:190f1331e783cf21eb60bca559354e0a4d4378facecf78f5428c39b675d20d28"},
+]
+
+[package.extras]
+twisted = ["twisted"]
+
 [[package]]
 name = "prompt-toolkit"
 version = "3.0.51"
@@ -3561,6 +4822,34 @@ files = [
 dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
 test = ["pytest", "pytest-xdist", "setuptools"]
 
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
+files = [
+    {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
+    {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
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+test = ["pytest"]
+
 [[package]]
 name = "setuptools"
 version = "80.9.0"
@@ -4609,6 +6772,110 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
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+[[package]]
+name = "sgl-kernel"
+version = "0.2.7"
+description = "Kernel Library for SGLang"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+
+[[package]]
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+version = "0.4.9.post4"
+description = "SGLang is yet another fast serving framework for large language models and vision language models."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+
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+blobfile = {version = "3.0.0", optional = true, markers = "extra == \"runtime-common\""}
+build = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+compressed-tensors = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+cuda-python = {version = "*", optional = true, markers = "extra == \"srt\""}
+datasets = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+decord = {version = "*", optional = true, markers = "extra == \"decord\""}
+einops = {version = "*", optional = true, markers = "extra == \"srt\""}
+fastapi = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+flashinfer_python = {version = "0.2.9rc1", optional = true, markers = "extra == \"srt\""}
+hf_transfer = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+huggingface_hub = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+interegular = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+IPython = "*"
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+modelscope = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+msgspec = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+ninja = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+numpy = "*"
+openai = {version = ">=1.0", optional = true, markers = "extra == \"openai\""}
+orjson = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+outlines = {version = "0.1.11", optional = true, markers = "extra == \"runtime-common\""}
+packaging = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+partial_json_parser = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+pillow = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+prometheus-client = {version = ">=0.20.0", optional = true, markers = "extra == \"runtime-common\""}
+psutil = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+pybase64 = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+pydantic = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+pynvml = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+python-multipart = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+pyzmq = {version = ">=25.1.2", optional = true, markers = "extra == \"runtime-common\""}
+requests = "*"
+scipy = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+sentencepiece = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+setproctitle = "*"
+sgl-kernel = {version = "0.2.7", optional = true, markers = "extra == \"srt\""}
+soundfile = {version = "0.13.1", optional = true, markers = "extra == \"runtime-common\""}
+tiktoken = {version = "*", optional = true, markers = "extra == \"openai\""}
+timm = {version = "1.0.16", optional = true, markers = "extra == \"runtime-common\""}
+torch = {version = "2.7.1", optional = true, markers = "extra == \"srt\""}
+torch_memory_saver = {version = ">=0.0.8", optional = true, markers = "extra == \"torch-memory-saver\""}
+torchao = {version = "0.9.0", optional = true, markers = "extra == \"runtime-common\""}
+torchaudio = {version = "2.7.1", optional = true, markers = "extra == \"srt\""}
+torchvision = {version = "0.22.1", optional = true, markers = "extra == \"srt\""}
+tqdm = "*"
+transformers = {version = "4.53.2", optional = true, markers = "extra == \"runtime-common\""}
+uvicorn = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+uvloop = {version = "*", optional = true, markers = "extra == \"runtime-common\""}
+xgrammar = {version = "0.1.21", optional = true, markers = "extra == \"runtime-common\""}
+
+[package.extras]
+all = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt]", "sglang[torch-memory-saver]"]
+all-cpu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-cpu]"]
+all-hip = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-hip]"]
+all-hpu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-hpu]"]
+all-npu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-npu]"]
+all-xpu = ["sglang[anthropic]", "sglang[decord]", "sglang[litellm]", "sglang[openai]", "sglang[srt-xpu]"]
+anthropic = ["anthropic (>=0.20.0)"]
+blackwell = ["cuda-python", "einops", "flashinfer_python (==0.2.9rc1)", "sgl-kernel", "sglang[runtime-common]", "torch (==2.7.1)", "torchaudio (==2.7.1)", "torchvision (==0.22.1)"]
+decord = ["decord"]
+dev = ["sglang[all]", "sglang[test]"]
+dev-cpu = ["sglang[all-cpu]", "sglang[test]"]
+dev-hip = ["sglang[all-hip]", "sglang[test]"]
+dev-hpu = ["sglang[all-hpu]", "sglang[test]"]
+dev-xpu = ["sglang[all-xpu]", "sglang[test]"]
+litellm = ["litellm (>=1.0.0)"]
+openai = ["openai (>=1.0)", "tiktoken"]
+runtime-common = ["blobfile (==3.0.0)", "build", "compressed-tensors", "datasets", "fastapi", "hf_transfer", "huggingface_hub", "interegular", "llguidance (>=0.7.11,<0.8.0)", "modelscope", "msgspec", "ninja", "orjson", "outlines (==0.1.11)", "packaging", "partial_json_parser", "pillow", "prometheus-client (>=0.20.0)", "psutil", "pybase64", "pydantic", "pynvml", "python-multipart", "pyzmq (>=25.1.2)", "scipy", "sentencepiece", "soundfile (==0.13.1)", "timm (==1.0.16)", "torchao (==0.9.0)", "transformers (==4.53.2)", "uvicorn", "uvloop", "xgrammar (==0.1.21)"]
+srt = ["cuda-python", "einops", "flashinfer_python (==0.2.9rc1)", "sgl-kernel (==0.2.7)", "sglang[runtime-common]", "torch (==2.7.1)", "torchaudio (==2.7.1)", "torchvision (==0.22.1)"]
+srt-cpu = ["einops", "sglang[runtime-common]"]
+srt-hip = ["petit_kernel (==0.0.2)", "sglang[runtime-common]", "torch"]
+srt-hpu = ["sglang[runtime-common]"]
+srt-npu = ["sglang[runtime-common]"]
+srt-xpu = ["sglang[runtime-common]"]
+test = ["accelerate", "jsonlines", "matplotlib", "pandas", "peft", "sentence_transformers"]
+torch-memory-saver = ["torch_memory_saver (>=0.0.8)"]
+
 [[package]]
 name = "shapely"
 version = "2.1.1"
@@ -4809,6 +7076,28 @@ files = [
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "soundfile"
+version = "0.13.1"
+description = "An audio library based on libsndfile, CFFI and NumPy"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+    {file = "soundfile-0.13.1.tar.gz", hash = "sha256:b2c68dab1e30297317080a5b43df57e302584c49e2942defdde0acccc53f0e5b"},
+]
+
+[package.dependencies]
+cffi = ">=1.0"
+numpy = "*"
+
 [[package]]
 name = "soupsieve"
 version = "2.8"
@@ -4821,6 +7110,26 @@ files = [
     {file = "soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f"},
 ]
 
+[[package]]
+name = "stack-data"
+version = "0.6.3"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
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+    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
+]
+
+[package.dependencies]
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
+
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+
 [[package]]
 name = "starlette"
 version = "0.46.2"
@@ -5059,6 +7368,73 @@ test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "k
 xml = ["defusedxml", "lxml"]
 zarr = ["fsspec", "kerchunk", "zarr (>=3)"]
 
+[[package]]
+name = "tiktoken"
+version = "0.11.0"
+description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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 opt-einsum = ["opt-einsum (>=3.3)"]
 optree = ["optree (>=0.13.0)"]
 
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 [[package]]
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 tqdm = ">4.64"
 
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 [[package]]
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 python-versions = ">=3.8.0"
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+    {file = "xxhash-3.5.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa0b72f2423e2aa53077e54a61c28e181d23effeaafd73fcb9c494e60930c8e"},
+    {file = "xxhash-3.5.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:13de2b76c1835399b2e419a296d5b38dc4855385d9e96916299170085ef72f57"},
+    {file = "xxhash-3.5.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:0691bfcc4f9c656bcb96cc5db94b4d75980b9d5589f2e59de790091028580837"},
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+    {file = "xxhash-3.5.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc1276d369452040cbb943300dc8abeedab14245ea44056a2943183822513a18"},
+    {file = "xxhash-3.5.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2061188a1ba352fc699c82bff722f4baacb4b4b8b2f0c745d2001e56d0dfb514"},
+    {file = "xxhash-3.5.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38c384c434021e4f62b8d9ba0bc9467e14d394893077e2c66d826243025e1f81"},
+    {file = "xxhash-3.5.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e6a4dd644d72ab316b580a1c120b375890e4c52ec392d4aef3c63361ec4d77d1"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:531af8845aaadcadf951b7e0c1345c6b9c68a990eeb74ff9acd8501a0ad6a1c9"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ce379bcaa9fcc00f19affa7773084dd09f5b59947b3fb47a1ceb0179f91aaa1"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd1b2281d01723f076df3c8188f43f2472248a6b63118b036e641243656b1b0f"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9c770750cc80e8694492244bca7251385188bc5597b6a39d98a9f30e8da984e0"},
+    {file = "xxhash-3.5.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b150b8467852e1bd844387459aa6fbe11d7f38b56e901f9f3b3e6aba0d660240"},
+    {file = "xxhash-3.5.0.tar.gz", hash = "sha256:84f2caddf951c9cbf8dc2e22a89d4ccf5d86391ac6418fe81e3c67d0cf60b45f"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.20.1"
@@ -6071,7 +8704,27 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "a1d1912e2e9cdfe9ed9f7ba5172dbfd4c8535ed466f761147d7e53edbaa48c86"
+content-hash = "3beaad28e88e75d74f3ff0fbb8e840b887cd3ec77fa63caf38822d0375bcda21"
diff --git a/pyproject.toml b/pyproject.toml
index 7f93b4b..5af68c7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "mineru[pipeline] (>=2.2.2,<3.0.0)",
+    "mineru[pipeline,vlm,sglang] (>=2.2.2,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)",
     "pypdf (>=4.2.0,<6.0.0)"
 ]

From e951de3dcff832ae798b67d29c9250bc59370b72 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Thu, 18 Sep 2025 20:32:46 +0300
Subject: [PATCH 12/16] fix init?

---
 app/serverless.py | 29 +++++++++++++++++++++++++++++
 1 file changed, 29 insertions(+)

diff --git a/app/serverless.py b/app/serverless.py
index 6cb759b..c17c27e 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -10,6 +10,35 @@
 
 from pypdf import PdfReader, PdfWriter
 
+# # Ensure MinerU custom HF classes are available and optionally pre-initialize sglang engine
+# try:
+#     # Importing registers custom model types and/or enables custom code for AutoConfig
+#     from mineru.backend.vlm.hf_predictor import HuggingfacePredictor  # noqa: F401
+# except Exception:
+#     pass
+# try:
+#     from mineru.backend.vlm.predictor import get_predictor  # noqa: F401
+# except Exception:
+#     pass
+
+def _maybe_init_sglang_engine_in_main() -> None:
+    """Initialize sglang engine in the main process if requested via env.
+
+    Per MinerU guidance, sglang-engine must be initialized in the main process.
+    This avoids scheduler failures when workers spawn without prior initialization.
+    """
+    backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
+    if backend_env == "vlm-sglang-engine":
+        try:
+            from mineru.backend.vlm.vlm_analyze import ModelSingleton
+            # Initialize once; ModelSingleton handles idempotency
+            ModelSingleton().get_model("sglang-engine", None, None)
+        except Exception:
+            # Defer detailed errors to runtime path to avoid import-time crashes
+            pass
+
+_maybe_init_sglang_engine_in_main()
+
 class TimeoutError(Exception):
     pass
 

From 10d7d62d1c479661bcef6fadf07eb7bccfd55265 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Thu, 18 Sep 2025 20:35:19 +0300
Subject: [PATCH 13/16] wip

---
 app/serverless.py | 102 +++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 96 insertions(+), 6 deletions(-)

diff --git a/app/serverless.py b/app/serverless.py
index c17c27e..3fafc86 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -4,6 +4,7 @@
 import tempfile
 import copy
 import io
+import asyncio
 
 import runpod
 
@@ -118,13 +119,101 @@ def convert_to_markdown_vlm(pdf_bytes, backend="vlm-sglang-engine", server_url=N
         return vlm_union_make(pdf_info, MakeMode.MM_MD, "images")
 
 
-def convert_to_markdown_dispatch(pdf_bytes, **kwargs):
-    """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND."""
+def _convert_to_markdown_via_aio(
+    pdf_bytes: bytes,
+    filename: str,
+    *,
+    lang: str = "en",
+    backend: str = "pipeline",
+    parse_method: str = "auto",
+    formula_enable: bool = True,
+    table_enable: bool = True,
+    server_url: str | None = None,
+    max_pages: int | None = None,
+) -> str:
+    """Use MinerU's aio_do_parse to produce markdown and return its content."""
+    # Lazy import to keep module import light
+    from mineru.cli.common import aio_do_parse
+
+    # Map max_pages to end_page_id semantics (inclusive end index)
+    start_page_id = 0
+    end_page_id = None
+    if max_pages is not None:
+        try:
+            max_pages_int = int(max_pages)
+            if max_pages_int > 0:
+                end_page_id = max_pages_int - 1
+        except Exception:
+            raise Exception("Invalid max_pages value; must be an integer")
+
+    with tempfile.TemporaryDirectory() as output_dir:
+        # Run async parse
+        async def _run():
+            await aio_do_parse(
+                output_dir=output_dir,
+                pdf_file_names=[filename],
+                pdf_bytes_list=[pdf_bytes],
+                p_lang_list=[lang],
+                backend=backend,
+                parse_method=parse_method,
+                formula_enable=formula_enable,
+                table_enable=table_enable,
+                server_url=server_url,
+                f_draw_layout_bbox=False,
+                f_draw_span_bbox=False,
+                f_dump_md=True,
+                f_dump_middle_json=False,
+                f_dump_model_output=False,
+                f_dump_orig_pdf=False,
+                f_dump_content_list=False,
+                start_page_id=start_page_id,
+                end_page_id=end_page_id,
+            )
+
+        asyncio.run(_run())
+
+        # Locate markdown file
+        parse_subdir = parse_method if backend.startswith("pipeline") else "vlm"
+        parse_dir = os.path.join(output_dir, filename, parse_subdir)
+        md_path = os.path.join(parse_dir, f"{filename}.md")
+        if not os.path.exists(md_path):
+            raise Exception("Markdown output not found after parsing")
+        with open(md_path, "r", encoding="utf-8") as f:
+            return f.read()
+
+
+def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs):
+    """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND.
+
+    Prefer using aio_do_parse to match official MinerU entrypoints.
+    """
     backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
-    if backend_env == "vlm-sglang-engine":
-        server_url = os.getenv("MINERU_SGLANG_SERVER_URL")
-        return convert_to_markdown_vlm(pdf_bytes, backend=backend_env, server_url=server_url)
-    return convert_to_markdown(pdf_bytes, **kwargs)
+    server_url = os.getenv("MINERU_SGLANG_SERVER_URL")
+    lang = kwargs.get("lang", "en")
+    parse_method = kwargs.get("parse_method", "auto")
+    formula_enable = kwargs.get("formula_enable", True)
+    table_enable = kwargs.get("table_enable", True)
+    max_pages = kwargs.get("max_pages")
+
+    if filename is None:
+        filename = "document"
+
+    # Use aio_do_parse path for both pipeline and vlm backends
+    if backend_env.startswith("vlm"):
+        parse_method = "vlm"
+    backend_for_aio = backend_env
+    return _convert_to_markdown_via_aio(
+        pdf_bytes,
+        filename,
+        lang=lang,
+        backend=backend_for_aio,
+        parse_method=parse_method,
+        formula_enable=formula_enable,
+        table_enable=table_enable,
+        server_url=server_url,
+        max_pages=max_pages,
+    )
+
 
 
 def handler(event):
@@ -163,6 +252,7 @@ def handler(event):
 
         md_content = convert_to_markdown_dispatch(
             pdf_bytes=pdf_bytes,
+            filename=os.path.splitext(os.path.basename(filename))[0] if filename else "document",
             lang=lang,
             parse_method=parse_method,
             formula_enable=formula_enable,

From 3be0215cd5c463745d7a7e00dab98a77feb46bf4 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Thu, 18 Sep 2025 21:22:48 +0300
Subject: [PATCH 14/16] async

---
 app/serverless.py | 54 ++++++++++++++++++++++-------------------------
 1 file changed, 25 insertions(+), 29 deletions(-)

diff --git a/app/serverless.py b/app/serverless.py
index 3fafc86..1722c3b 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -119,7 +119,7 @@ def convert_to_markdown_vlm(pdf_bytes, backend="vlm-sglang-engine", server_url=N
         return vlm_union_make(pdf_info, MakeMode.MM_MD, "images")
 
 
-def _convert_to_markdown_via_aio(
+async def _convert_to_markdown_via_aio(
     pdf_bytes: bytes,
     filename: str,
     *,
@@ -147,30 +147,26 @@ def _convert_to_markdown_via_aio(
             raise Exception("Invalid max_pages value; must be an integer")
 
     with tempfile.TemporaryDirectory() as output_dir:
-        # Run async parse
-        async def _run():
-            await aio_do_parse(
-                output_dir=output_dir,
-                pdf_file_names=[filename],
-                pdf_bytes_list=[pdf_bytes],
-                p_lang_list=[lang],
-                backend=backend,
-                parse_method=parse_method,
-                formula_enable=formula_enable,
-                table_enable=table_enable,
-                server_url=server_url,
-                f_draw_layout_bbox=False,
-                f_draw_span_bbox=False,
-                f_dump_md=True,
-                f_dump_middle_json=False,
-                f_dump_model_output=False,
-                f_dump_orig_pdf=False,
-                f_dump_content_list=False,
-                start_page_id=start_page_id,
-                end_page_id=end_page_id,
-            )
-
-        asyncio.run(_run())
+        await aio_do_parse(
+            output_dir=output_dir,
+            pdf_file_names=[filename],
+            pdf_bytes_list=[pdf_bytes],
+            p_lang_list=[lang],
+            backend=backend,
+            parse_method=parse_method,
+            formula_enable=formula_enable,
+            table_enable=table_enable,
+            server_url=server_url,
+            f_draw_layout_bbox=False,
+            f_draw_span_bbox=False,
+            f_dump_md=True,
+            f_dump_middle_json=False,
+            f_dump_model_output=False,
+            f_dump_orig_pdf=False,
+            f_dump_content_list=False,
+            start_page_id=start_page_id,
+            end_page_id=end_page_id,
+        )
 
         # Locate markdown file
         parse_subdir = parse_method if backend.startswith("pipeline") else "vlm"
@@ -182,7 +178,7 @@ async def _run():
             return f.read()
 
 
-def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs):
+async def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs):
     """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND.
 
     Prefer using aio_do_parse to match official MinerU entrypoints.
@@ -202,7 +198,7 @@ def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs):
     if backend_env.startswith("vlm"):
         parse_method = "vlm"
     backend_for_aio = backend_env
-    return _convert_to_markdown_via_aio(
+    return await _convert_to_markdown_via_aio(
         pdf_bytes,
         filename,
         lang=lang,
@@ -216,7 +212,7 @@ def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs):
 
 
 
-def handler(event):
+async def handler(event):
     try:
         input_data = event.get("input", {})
         base64_content = input_data.get("file_content")
@@ -250,7 +246,7 @@ def handler(event):
         # Process PDF
         pdf_bytes = base64.b64decode(base64_content)
 
-        md_content = convert_to_markdown_dispatch(
+        md_content = await convert_to_markdown_dispatch(
             pdf_bytes=pdf_bytes,
             filename=os.path.splitext(os.path.basename(filename))[0] if filename else "document",
             lang=lang,

From 0bc4e6223bb25dea78809296fc08bc4ce960315c Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Fri, 19 Sep 2025 20:48:25 +0300
Subject: [PATCH 15/16] mineru 2.5

---
 Dockerfile        |    2 +-
 app/serverless.py |   26 +-
 poetry.lock       | 2418 ++++++++++++++++++---------------------------
 pyproject.toml    |    4 +-
 4 files changed, 954 insertions(+), 1496 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 789ef39..6aea18c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 ARG POETRY_VERSION=1.6.1
 
-FROM lmsysorg/sglang:v0.4.9.post6-cu126
+FROM vllm/vllm-openai:v0.10.1.1
 # Allow statements and log messages to immediately appear in the logs
 ENV PYTHONUNBUFFERED True
 
diff --git a/app/serverless.py b/app/serverless.py
index 1722c3b..0133ce4 100644
--- a/app/serverless.py
+++ b/app/serverless.py
@@ -22,23 +22,25 @@
 # except Exception:
 #     pass
 
-def _maybe_init_sglang_engine_in_main() -> None:
-    """Initialize sglang engine in the main process if requested via env.
+def _maybe_init_engine_in_main() -> None:
+    """Initialize VLM engine in the main process if requested via env.
 
     Per MinerU guidance, sglang-engine must be initialized in the main process.
     This avoids scheduler failures when workers spawn without prior initialization.
     """
     backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
-    if backend_env == "vlm-sglang-engine":
-        try:
-            from mineru.backend.vlm.vlm_analyze import ModelSingleton
-            # Initialize once; ModelSingleton handles idempotency
-            ModelSingleton().get_model("sglang-engine", None, None)
-        except Exception:
-            # Defer detailed errors to runtime path to avoid import-time crashes
-            pass
+    from mineru.backend.vlm.vlm_analyze import ModelSingleton
+
+
+    try:
+
+        if backend_env == "vlm-vllm-async-engine":
+            ModelSingleton().get_model("vllm-async-engine", None, None)
+    except Exception:
+        # Defer detailed errors to runtime path to avoid import-time crashes
+        pass
 
-_maybe_init_sglang_engine_in_main()
+_maybe_init_engine_in_main()
 
 class TimeoutError(Exception):
     pass
@@ -184,7 +186,7 @@ async def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs):
     Prefer using aio_do_parse to match official MinerU entrypoints.
     """
     backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower()
-    server_url = os.getenv("MINERU_SGLANG_SERVER_URL")
+    server_url = os.getenv("MINERU_VLM_SERVER_URL") or os.getenv("MINERU_SGLANG_SERVER_URL")
     lang = kwargs.get("lang", "en")
     parse_method = kwargs.get("parse_method", "auto")
     formula_enable = kwargs.get("formula_enable", True)
diff --git a/poetry.lock b/poetry.lock
index 34ccec0..0d8a713 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -48,6 +48,18 @@ files = [
 [package.dependencies]
 pycares = ">=4.9.0"
 
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
+    {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -202,18 +214,6 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
-[[package]]
-name = "airportsdata"
-version = "20250909"
-description = "Extensive database of location and timezone data for nearly every airport and landing strip in the world."
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "airportsdata-20250909-py3-none-any.whl", hash = "sha256:ce7dc6e1485afe3915e708212c7024ad158470c1c934e6a6cb217cf28b798ac7"},
-    {file = "airportsdata-20250909.tar.gz", hash = "sha256:f39974fe1101817ced4ccf7c6ed336408469e5e778395d0a3e7a5112ec298f90"},
-]
-
 [[package]]
 name = "albucore"
 version = "0.0.24"
@@ -269,33 +269,6 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[[package]]
-name = "anthropic"
-version = "0.68.0"
-description = "The official Python library for the anthropic API"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "anthropic-0.68.0-py3-none-any.whl", hash = "sha256:ac579ea5eca22a7165b1042e6af57c4bf556e51afae3ca80e24768d4756b78c0"},
-    {file = "anthropic-0.68.0.tar.gz", hash = "sha256:507e9b5f627d1b249128ff15b21855e718fa4ed8dabc787d0e68860a4b32a7a8"},
-]
-
-[package.dependencies]
-anyio = ">=3.5.0,<5"
-distro = ">=1.7.0,<2"
-docstring-parser = ">=0.15,<1"
-httpx = ">=0.25.0,<1"
-jiter = ">=0.4.0,<1"
-pydantic = ">=1.9.0,<3"
-sniffio = "*"
-typing-extensions = ">=4.10,<5"
-
-[package.extras]
-aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
-bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
-vertex = ["google-auth[requests] (>=2,<3)"]
-
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -331,21 +304,17 @@ test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "except
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
-name = "asttokens"
-version = "3.0.0"
-description = "Annotate AST trees with source code positions"
+name = "astor"
+version = "0.8.1"
+description = "Read/rewrite/write Python ASTs"
 optional = false
-python-versions = ">=3.8"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 groups = ["main"]
 files = [
-    {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
-    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
+    {file = "astor-0.8.1-py2.py3-none-any.whl", hash = "sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5"},
+    {file = "astor-0.8.1.tar.gz", hash = "sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e"},
 ]
 
-[package.extras]
-astroid = ["astroid (>=2,<4)"]
-test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
-
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -480,22 +449,102 @@ html5lib = ["html5lib"]
 lxml = ["lxml"]
 
 [[package]]
-name = "blobfile"
-version = "3.0.0"
-description = "Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile"
+name = "blake3"
+version = "1.0.6"
+description = ""
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "blobfile-3.0.0-py3-none-any.whl", hash = "sha256:48ecc3307e622804bd8fe13bf6f40e6463c4439eba7a1f9ad49fd78aa63cc658"},
-    {file = "blobfile-3.0.0.tar.gz", hash = "sha256:32ec777414de7bb2a76ca812a838f0d33327ca28ae844a253503cde625cdf2f1"},
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 [package.dependencies]
-filelock = ">=3.0"
-lxml = ">=4.9"
-pycryptodomex = ">=3.8"
-urllib3 = ">=1.25.3,<3"
+typing-extensions = {version = ">=4.6.0", markers = "python_full_version < \"3.12.0\""}
 
 [[package]]
 name = "boto3"
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 cffi = ">=1.0.0"
 
 [[package]]
-name = "build"
-version = "1.3.0"
-description = "A simple, correct Python build frontend"
+name = "cachetools"
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+description = "Extensible memoizing collections and decorators"
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 python-versions = ">=3.9"
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-packaging = ">=19.1"
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-
-[package.extras]
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+]
 
 [[package]]
 name = "certifi"
@@ -1020,18 +1118,17 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
 [[package]]
 name = "compressed-tensors"
-version = "0.11.0"
+version = "0.10.2"
 description = "Library for utilization of compressed safetensors of neural network models"
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
-frozendict = "*"
 pydantic = ">=2.0"
 torch = ">=1.7.0"
 transformers = "*"
@@ -1178,72 +1275,38 @@ test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)"
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
-name = "cuda-bindings"
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-
-[[package]]
-name = "cuda-pathfinder"
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-
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 ]
 
 [package.dependencies]
-cuda-bindings = ">=13.0.1,<13.1.0"
-cuda-pathfinder = ">=1.1,<2.0"
+fastrlock = ">=0.5"
+numpy = ">=1.22,<2.6"
 
 [package.extras]
-all = ["cuda-bindings[all] (>=13.0.1,<13.1.0)"]
+all = ["Cython (>=3)", "optuna (>=2.0)", "scipy (>=1.7,<1.17)"]
+test = ["hypothesis (>=6.37.2,<6.55.0)", "mpmath", "packaging", "pytest (>=7.2)"]
 
 [[package]]
 name = "cycler"
@@ -1262,76 +1325,23 @@ docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
-name = "datasets"
-version = "4.1.1"
-description = "HuggingFace community-driven open-source library of datasets"
+name = "depyf"
+version = "0.19.0"
+description = "Decompile python functions, from bytecode to source code!"
 optional = false
-python-versions = ">=3.9.0"
+python-versions = ">=3.7"
 groups = ["main"]
 files = [
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 [package.dependencies]
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-filelock = "*"
-fsspec = {version = ">=2023.1.0,<=2025.9.0", extras = ["http"]}
-huggingface-hub = ">=0.24.0"
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-numpy = ">=1.17"
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-pandas = "*"
-pyarrow = ">=21.0.0"
-pyyaml = ">=5.1"
-requests = ">=2.32.2"
-tqdm = ">=4.66.3"
-xxhash = "*"
+astor = "*"
+dill = "*"
 
 [package.extras]
-audio = ["torch (>=2.8.0)", "torchcodec (>=0.6.0)"]
-benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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-torch = ["torch"]
-vision = ["Pillow (>=9.4.0)"]
-
-[[package]]
-name = "decorator"
-version = "5.2.1"
-description = "Decorators for Humans"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-
-[[package]]
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-description = "Decord Video Loader"
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
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-]
-
-[package.dependencies]
-numpy = ">=1.14.0"
+dev = ["autopep8", "flake8", "pytest"]
 
 [[package]]
 name = "dill"
@@ -1430,23 +1440,6 @@ export = ["coremltools (>=7.0) ; platform_system != \"Windows\" and python_versi
 extra = ["albumentations (>=1.0.3)", "hub-sdk (>=0.0.5)", "ipython", "pycocotools (>=2.0.7)"]
 logging = ["comet", "dvclive (>=2.12.0)", "tensorboard (>=2.13.0)"]
 
-[[package]]
-name = "docstring-parser"
-version = "0.17.0"
-description = "Parse Python docstrings in reST, Google and Numpydoc format"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-
-[package.extras]
-dev = ["pre-commit (>=2.16.0) ; python_version >= \"3.9\"", "pydoctor (>=25.4.0)", "pytest"]
-docs = ["pydoctor (>=25.4.0)"]
-test = ["pytest"]
-
 [[package]]
 name = "einops"
 version = "0.8.1"
@@ -1494,21 +1487,6 @@ typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "executing"
-version = "2.2.1"
-description = "Get the currently executing AST node of a frame, and other information"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-
-[package.extras]
-tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
-
 [[package]]
 name = "fast-langdetect"
 version = "0.2.5"
@@ -1539,21 +1517,39 @@ files = [
 ]
 
 [package.dependencies]
-email-validator = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
-fastapi-cli = {version = ">=0.0.5", extras = ["standard"], optional = true, markers = "extra == \"all\""}
-httpx = {version = ">=0.23.0", optional = true, markers = "extra == \"all\""}
+email-validator = [
+    {version = ">=2.0.0", optional = true, markers = "extra == \"standard\""},
+    {version = ">=2.0.0", optional = true, markers = "extra == \"all\""},
+]
+fastapi-cli = [
+    {version = ">=0.0.5", extras = ["standard"], optional = true, markers = "extra == \"standard\""},
+    {version = ">=0.0.5", extras = ["standard"], optional = true, markers = "extra == \"all\""},
+]
+httpx = [
+    {version = ">=0.23.0", optional = true, markers = "extra == \"standard\""},
+    {version = ">=0.23.0", optional = true, markers = "extra == \"all\""},
+]
 itsdangerous = {version = ">=1.1.0", optional = true, markers = "extra == \"all\""}
-jinja2 = {version = ">=3.1.5", optional = true, markers = "extra == \"all\""}
+jinja2 = [
+    {version = ">=3.1.5", optional = true, markers = "extra == \"standard\""},
+    {version = ">=3.1.5", optional = true, markers = "extra == \"all\""},
+]
 orjson = {version = ">=3.2.1", optional = true, markers = "extra == \"all\""}
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
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-python-multipart = {version = ">=0.0.18", optional = true, markers = "extra == \"all\""}
+python-multipart = [
+    {version = ">=0.0.18", optional = true, markers = "extra == \"standard\""},
+    {version = ">=0.0.18", optional = true, markers = "extra == \"all\""},
+]
 pyyaml = {version = ">=5.3.1", optional = true, markers = "extra == \"all\""}
 starlette = ">=0.40.0,<0.47.0"
 typing-extensions = ">=4.8.0"
 ujson = {version = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0", optional = true, markers = "extra == \"all\""}
-uvicorn = {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"all\""}
+uvicorn = [
+    {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"standard\""},
+    {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"all\""},
+]
 
 [package.extras]
 all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
@@ -1579,6 +1575,86 @@ uvicorn = {version = ">=0.15.0", extras = ["standard"]}
 [package.extras]
 standard = ["uvicorn[standard] (>=0.15.0)"]
 
+[[package]]
+name = "fastrlock"
+version = "0.8.3"
+description = "Fast, re-entrant optimistic lock implemented in Cython"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform != \"darwin\""
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+
 [[package]]
 name = "fasttext-predict"
 version = "0.9.2.4"
@@ -1683,29 +1759,6 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
 typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
-[[package]]
-name = "flashinfer-python"
-version = "0.2.9rc1"
-description = "FlashInfer: Kernel Library for LLM Serving"
-optional = false
-python-versions = "<4.0,>=3.9"
-groups = ["main"]
-files = [
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-]
-
-[package.dependencies]
-cuda-python = "*"
-einops = "*"
-ninja = "*"
-numpy = "*"
-nvidia-cudnn-cu12 = "*"
-nvidia-cudnn-frontend = "*"
-nvidia-nvshmem-cu12 = "*"
-pynvml = "*"
-requests = "*"
-torch = "*"
-
 [[package]]
 name = "flatbuffers"
 version = "25.2.10"
@@ -1784,55 +1837,6 @@ ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""]
 woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"]
 
-[[package]]
-name = "frozendict"
-version = "2.4.6"
-description = "A simple immutable dictionary"
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
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-]
-
 [[package]]
 name = "frozenlist"
 version = "1.7.0"
@@ -1959,9 +1963,6 @@ files = [
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 ]
 
-[package.dependencies]
-aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
-
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -2006,50 +2007,35 @@ files = [
 wcwidth = "*"
 
 [[package]]
-name = "h11"
-version = "0.16.0"
-description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+name = "gguf"
+version = "0.17.1"
+description = "Read and write ML models in GGUF for GGML"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 ]
 
+[package.dependencies]
+numpy = ">=1.17"
+pyyaml = ">=5.1"
+tqdm = ">=4.27"
+
+[package.extras]
+gui = ["PySide6 (>=6.9,<7.0) ; python_version >= \"3.9\" and python_version < \"3.14\""]
+
 [[package]]
-name = "hf-transfer"
-version = "0.1.9"
-description = "Speed up file transfers with the Hugging Face Hub."
+name = "h11"
+version = "0.16.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 files = [
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+    {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
 ]
 
 [[package]]
@@ -2179,20 +2165,20 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.33.0"
+version = "0.35.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
 files = [
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+    {file = "huggingface_hub-0.35.0-py3-none-any.whl", hash = "sha256:f2e2f693bca9a26530b1c0b9bcd4c1495644dad698e6a0060f90e22e772c31e9"},
+    {file = "huggingface_hub-0.35.0.tar.gz", hash = "sha256:ccadd2a78eef75effff184ad89401413629fabc52cefd76f6bbacb9b1c0676ac"},
 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
-hf-xet = {version = ">=1.1.2,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
+hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -2200,19 +2186,19 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"]
 inference = ["aiohttp"]
 mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"]
 oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
-quality = ["libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"]
+quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -2280,30 +2266,6 @@ rawpy = ["numpy (>2)", "rawpy"]
 test = ["fsspec[github]", "pytest", "pytest-cov"]
 tifffile = ["tifffile"]
 
-[[package]]
-name = "importlib-metadata"
-version = "8.7.0"
-description = "Read metadata from Python packages"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
-    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
-]
-
-[package.dependencies]
-zipp = ">=3.20"
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
-type = ["pytest-mypy"]
-
 [[package]]
 name = "inquirerpy"
 version = "0.3.4"
@@ -2335,96 +2297,6 @@ files = [
     {file = "interegular-0.3.3.tar.gz", hash = "sha256:d9b697b21b34884711399ba0f0376914b81899ce670032486d0d048344a76600"},
 ]
 
-[[package]]
-name = "ipython"
-version = "8.37.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "ipython-8.37.0-py3-none-any.whl", hash = "sha256:ed87326596b878932dbcb171e3e698845434d8c61b8d8cd474bf663041a9dcf2"},
-    {file = "ipython-8.37.0.tar.gz", hash = "sha256:ca815841e1a41a1e6b73a0b08f3038af9b2252564d01fc405356d34033012216"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack_data = "*"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
-kernel = ["ipykernel"]
-matplotlib = ["matplotlib"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
-
-[[package]]
-name = "ipython"
-version = "9.5.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.11"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "ipython-9.5.0-py3-none-any.whl", hash = "sha256:88369ffa1d5817d609120daa523a6da06d02518e582347c29f8451732a9c5e72"},
-    {file = "ipython-9.5.0.tar.gz", hash = "sha256:129c44b941fe6d9b82d36fc7a7c18127ddb1d6f02f78f867f402e2e3adde3113"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-ipython-pygments-lexers = "*"
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack_data = "*"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["ipython[doc,matplotlib,test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
-matplotlib = ["matplotlib"]
-test = ["packaging", "pytest", "pytest-asyncio", "testpath"]
-test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
-
-[[package]]
-name = "ipython-pygments-lexers"
-version = "1.1.1"
-description = "Defines a variety of Pygments lexers for highlighting IPython code."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version >= \"3.11\""
-files = [
-    {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
-    {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
-]
-
-[package.dependencies]
-pygments = "*"
-
 [[package]]
 name = "itsdangerous"
 version = "2.2.0"
@@ -2437,26 +2309,6 @@ files = [
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
 ]
 
-[[package]]
-name = "jedi"
-version = "0.19.2"
-description = "An autocompletion tool for Python that can be used for text editors."
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
-files = [
-    {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
-    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
-]
-
-[package.dependencies]
-parso = ">=0.8.4,<0.9.0"
-
-[package.extras]
-docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
-qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
-
 [[package]]
 name = "jinja2"
 version = "3.1.6"
@@ -2751,39 +2603,6 @@ dev = ["changelist (==0.5)"]
 lint = ["pre-commit (==3.7.0)"]
 test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 
-[[package]]
-name = "litellm"
-version = "1.75.3"
-description = "Library to easily interface with LLM API providers"
-optional = false
-python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
-groups = ["main"]
-files = [
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-]
-
-[package.dependencies]
-aiohttp = ">=3.10"
-click = "*"
-httpx = ">=0.23.0"
-importlib-metadata = ">=6.8.0"
-jinja2 = ">=3.1.2,<4.0.0"
-jsonschema = ">=4.22.0,<5.0.0"
-openai = ">=1.68.2"
-pydantic = ">=2.5.0,<3.0.0"
-python-dotenv = ">=0.2.0"
-tiktoken = ">=0.7.0"
-tokenizers = "*"
-
-[package.extras]
-caching = ["diskcache (>=5.6.1,<6.0.0)"]
-extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-iam (>=2.19.1,<3.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "redisvl (>=0.4.1,<0.5.0) ; python_version >= \"3.9\" and python_version < \"3.14\"", "resend (>=0.8.0,<0.9.0)"]
-mlflow = ["mlflow (>3.1.4) ; python_version >= \"3.10\""]
-proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.25.1,<13.0.0)", "backoff", "boto3 (==1.34.34)", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=23.0.0,<24.0.0)", "litellm-enterprise (==0.1.19)", "litellm-proxy-extras (==0.2.16)", "mcp (>=1.10.0,<2.0.0) ; python_version >= \"3.10\"", "orjson (>=3.9.7,<4.0.0)", "polars (>=1.31.0,<2.0.0) ; python_version >= \"3.10\"", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rich (==13.7.1)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop (>=0.21.0,<0.22.0) ; sys_platform != \"win32\"", "websockets (>=13.1.0,<14.0.0)"]
-semantic-router = ["semantic-router ; python_version >= \"3.9\""]
-utils = ["numpydoc"]
-
 [[package]]
 name = "llguidance"
 version = "0.7.30"
@@ -2791,6 +2610,7 @@ description = "Bindings for the Low-level Guidance (llguidance) Rust library for
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "platform_machine == \"x86_64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
 files = [
     {file = "llguidance-0.7.30-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c80af02c118d2b0526bcecaab389af2ed094537a069b0fc724cd2a2f2ba3990f"},
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@@ -2802,6 +2622,55 @@ files = [
     {file = "llguidance-0.7.30.tar.gz", hash = "sha256:e93bf75f2b6e48afb86a5cee23038746975e1654672bf5ba0ae75f7d4d4a2248"},
 ]
 
+[[package]]
+name = "llvmlite"
+version = "0.44.0"
+description = "lightweight wrapper around basic LLVM functionality"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
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+    {file = "magika-0.6.2.tar.gz", hash = "sha256:37eb6ae8020f6e68f231bc06052c0a0cbe8e6fa27492db345e8dc867dbceb067"},
 ]
 
-[package.extras]
-cssselect = ["cssselect (>=0.7)"]
-html-clean = ["lxml_html_clean"]
-html5 = ["html5lib"]
-htmlsoup = ["BeautifulSoup4"]
+[package.dependencies]
+click = ">=8.1.7"
+numpy = [
+    {version = ">=1.24", markers = "python_version < \"3.12\""},
+    {version = ">=1.26", markers = "python_version == \"3.12\""},
+]
+onnxruntime = {version = ">=1.17.0", markers = "python_version > \"3.9\""}
+python-dotenv = ">=1.0.1"
 
 [[package]]
 name = "markdown-it-py"
@@ -3107,21 +2868,6 @@ python-dateutil = ">=2.7"
 [package.extras]
 dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
-[[package]]
-name = "matplotlib-inline"
-version = "0.1.7"
-description = "Inline Matplotlib backend for Jupyter"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
-    {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
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-]
-
-[package.dependencies]
-traitlets = "*"
-
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -3136,13 +2882,13 @@ files = [
 
 [[package]]
 name = "mineru"
-version = "2.2.2"
+version = "2.5.2"
 description = "A practical tool for converting PDF to Markdown"
 optional = false
 python-versions = "<3.14,>=3.10"
 groups = ["main"]
 files = [
-    {file = "mineru-2.2.2-py3-none-any.whl", hash = "sha256:adcc02e8b225dec134468a9c9b4fd95797d97f79b4e7ddf38423146cd11f1d8c"},
+    {file = "mineru-2.5.2-py3-none-any.whl", hash = "sha256:49ac858f5ed7c13422c89903381e2ec69b5a99c356a3a109c859d24603c9ba63"},
 ]
 
 [package.dependencies]
@@ -3158,7 +2904,9 @@ httpx = "*"
 huggingface-hub = ">=0.32.4"
 json-repair = ">=0.46.2"
 loguru = ">=0.7.2"
+magika = ">=0.6.2,<0.7.0"
 matplotlib = {version = ">=3.10,<4", optional = true, markers = "extra == \"pipeline\""}
+mineru-vl-utils = ">=0.1.7,<1"
 modelscope = ">=1.26.0"
 numpy = ">=1.21.6"
 omegaconf = {version = ">=2.3.0,<3", optional = true, markers = "extra == \"pipeline\""}
@@ -3169,30 +2917,86 @@ opencv-python = ">=4.11.0.86"
 pdftext = ">=0.6.2"
 pillow = ">=11.0.0"
 pyclipper = {version = ">=1.3.0,<2", optional = true, markers = "extra == \"pipeline\""}
-pydantic = {version = "*", optional = true, markers = "extra == \"vlm\""}
 pypdf = ">=5.6.0"
 pypdfium2 = ">=4.30.0"
 PyYAML = {version = ">=6.0.2,<7", optional = true, markers = "extra == \"pipeline\""}
 reportlab = "*"
 requests = "*"
 scikit-image = ">=0.25.0,<1.0.0"
-sglang = {version = ">=0.4.7,<0.4.11", extras = ["all"], optional = true, markers = "extra == \"sglang\""}
 shapely = {version = ">=2.0.7,<3", optional = true, markers = "extra == \"pipeline\""}
-torch = {version = ">=2.6.0,<2.8.0", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
+torch = {version = ">=2.6.0,<2.8.0", optional = true, markers = "extra == \"vlm\" or extra == \"pipeline\""}
 torchvision = {version = "*", optional = true, markers = "extra == \"pipeline\""}
 tqdm = ">=4.67.1"
 transformers = {version = ">=4.51.1,<5.0.0", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 ultralytics = {version = ">=8.3.48,<9", optional = true, markers = "extra == \"pipeline\""}
+vllm = {version = "0.10.1.1", optional = true, markers = "extra == \"vllm\""}
 
 [package.extras]
-all = ["mineru[core]", "mineru[sglang]"]
+all = ["mineru[core]", "mineru[vllm]"]
 api = ["fastapi", "python-multipart", "uvicorn"]
 core = ["mineru[api]", "mineru[gradio]", "mineru[pipeline]", "mineru[vlm]"]
 gradio = ["gradio (>=5.34,<6)", "gradio-pdf (>=0.0.22)"]
 pipeline = ["PyYAML (>=6.0.2,<7)", "dill (>=0.3.8,<1)", "doclayout_yolo (==0.0.4)", "ftfy (>=6.3.1,<7)", "matplotlib (>=3.10,<4)", "omegaconf (>=2.3.0,<3)", "onnxruntime (>1.17.0)", "pyclipper (>=1.3.0,<2)", "shapely (>=2.0.7,<3)", "torch (>=2.6.0,<2.8.0)", "torchvision", "transformers (>=4.49.0,!=4.51.0,<5.0.0)", "ultralytics (>=8.3.48,<9)"]
-sglang = ["sglang[all] (>=0.4.7,<0.4.11)"]
 test = ["coverage", "fuzzywuzzy", "mineru[core]", "pytest", "pytest-cov"]
-vlm = ["accelerate (>=1.5.1)", "pydantic", "torch (>=2.6.0)", "transformers (>=4.51.1)"]
+vllm = ["vllm (==0.10.1.1)"]
+vlm = ["accelerate (>=1.5.1)", "torch (>=2.6.0,<2.8.0)", "transformers (>=4.51.1,<5.0.0)"]
+
+[[package]]
+name = "mineru-vl-utils"
+version = "0.1.8"
+description = "Utilities for MinerU Vision-Language models"
+optional = false
+python-versions = "<3.14,>=3.10"
+groups = ["main"]
+files = [
+    {file = "mineru_vl_utils-0.1.8-py3-none-any.whl", hash = "sha256:6e98dd3ae87323379f62de44d3f8f7c027f0574043524c81ae76c979eea490a4"},
+    {file = "mineru_vl_utils-0.1.8.tar.gz", hash = "sha256:e67a83d93297b5bdaf20ccc45de82ec10e4794af8db96294ccedeeea44114ef6"},
+]
+
+[package.dependencies]
+aiofiles = "*"
+httpx = "*"
+pillow = "*"
+pydantic = "*"
+
+[package.extras]
+transformers = ["accelerate (>=1.5.1)", "torch (>=2.6.0,<2.8.0)", "transformers (>=4.51.1,<5.0.0)"]
+vllm = ["vllm (==0.10.1.1)"]
+
+[[package]]
+name = "mistral-common"
+version = "1.8.5"
+description = "Mistral-common is a library of common utilities for Mistral AI."
+optional = false
+python-versions = "<3.14,>=3.9.0"
+groups = ["main"]
+files = [
+    {file = "mistral_common-1.8.5-py3-none-any.whl", hash = "sha256:f3cf87b61958a00485e603f3fe0530eb509d7e9b2f7178329dcd260e307eced1"},
+    {file = "mistral_common-1.8.5.tar.gz", hash = "sha256:9f6204ede9c807f09040a208a9381ae78ef93e2e5a9cd5202dc12e712a025de8"},
+]
+
+[package.dependencies]
+jsonschema = ">=4.21.1"
+numpy = ">=1.25"
+opencv-python-headless = {version = ">=4.0.0", optional = true, markers = "extra == \"opencv\""}
+pillow = ">=10.3.0"
+pydantic = ">=2.7,<3.0"
+pydantic-extra-types = {version = ">=2.10.5", extras = ["pycountry"]}
+requests = ">=2.0.0"
+soundfile = {version = ">=0.12.1", optional = true, markers = "extra == \"soundfile\""}
+soxr = {version = ">=0.5.0", optional = true, markers = "extra == \"soxr\""}
+tiktoken = ">=0.7.0"
+typing-extensions = ">=4.11.0"
+
+[package.extras]
+audio = ["mistral_common[soundfile]", "mistral_common[soxr]"]
+hf-hub = ["huggingface-hub (>=0.32.4)"]
+image = ["mistral_common[opencv]"]
+opencv = ["opencv-python-headless (>=4.0.0)"]
+sentencepiece = ["sentencepiece (>=0.2.0)"]
+server = ["click (>=8.1.0)", "fastapi[standard] (>=0.115.12)", "pydantic-settings (>=2.9.1)"]
+soundfile = ["soundfile (>=0.12.1)"]
+soxr = ["soxr (>=0.5.0)"]
 
 [[package]]
 name = "mlx"
@@ -3201,7 +3005,7 @@ description = "A framework for machine learning on Apple silicon."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
+markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
 files = [
     {file = "mlx-0.29.1-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:6a10d589a439346be1b7d8d0bbfe6cba45f1ef592f406b247b2da7131a9242c2"},
     {file = "mlx-0.29.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:673505b631f05041d7634366c8f52bf38d80439af44592f6e4291e59bb17a243"},
@@ -3240,7 +3044,7 @@ description = "LLMs with MLX and the Hugging Face Hub"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
+markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
 files = [
     {file = "mlx_lm-0.28.0-py3-none-any.whl", hash = "sha256:a2002b14a73ac6d88685a5e6ff5c5d86811157288468bf16aff7a94e6c872f3d"},
     {file = "mlx_lm-0.28.0.tar.gz", hash = "sha256:42d0304e45a09e68c73a851210c019a6fd3fc61221632c9448cf03b31bc4cac5"},
@@ -3266,7 +3070,7 @@ description = "A framework for machine learning on Apple silicon."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
+markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
 files = [
     {file = "mlx_metal-0.29.1-py3-none-macosx_13_0_arm64.whl", hash = "sha256:b9dadd432948eab196ed110db0dc745795fd516b7124c0d3c4d176fee678a07a"},
     {file = "mlx_metal-0.29.1-py3-none-macosx_14_0_arm64.whl", hash = "sha256:824b939b721a964a455aeea4d0e956e4cc945f3333522c1e72a077ae774bca49"},
@@ -3325,6 +3129,75 @@ docs = ["sphinx"]
 gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
+[[package]]
+name = "msgpack"
+version = "1.1.1"
+description = "MessagePack serializer"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+
 [[package]]
 name = "numpy"
 version = "2.2.6"
@@ -3617,7 +3488,6 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
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 [[package]]
 name = "nvidia-cublas-cu12"
 version = "12.6.4.1"
@@ -3745,6 +3553,7 @@ description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3758,7 +3567,7 @@ description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3774,7 +3583,7 @@ description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3788,7 +3597,7 @@ description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3804,6 +3613,7 @@ description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
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@@ -3813,31 +3623,6 @@ files = [
 [package.dependencies]
 nvidia-cublas-cu12 = "*"
 
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 [[package]]
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@@ -3845,7 +3630,7 @@ description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6"},
     {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb"},
@@ -3864,7 +3649,7 @@ description = "cuFile GPUDirect libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159"},
     {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db"},
@@ -3877,7 +3662,7 @@ description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8"},
     {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf"},
@@ -3893,7 +3678,7 @@ description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0"},
     {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c"},
@@ -3914,7 +3699,7 @@ description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887"},
     {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
@@ -3933,25 +3718,13 @@ description = "NVIDIA cuSPARSELt"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1"},
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46"},
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-win_amd64.whl", hash = "sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7"},
 ]
 
-[[package]]
-name = "nvidia-ml-py"
-version = "13.580.82"
-description = "Python Bindings for the NVIDIA Management Library"
-optional = false
-python-versions = "*"
-groups = ["main"]
-files = [
-    {file = "nvidia_ml_py-13.580.82-py3-none-any.whl", hash = "sha256:4361db337b0c551e2d101936dae2e9a60f957af26818e8c0c3a1f32b8db8d0a7"},
-    {file = "nvidia_ml_py-13.580.82.tar.gz", hash = "sha256:0c028805dc53a0e2a6985ea801888197765ac2ef8f1c9e29a7bf0d3616a5efc7"},
-]
-
 [[package]]
 name = "nvidia-nccl-cu12"
 version = "2.26.2"
@@ -3959,7 +3732,7 @@ description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522"},
     {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6"},
@@ -3972,25 +3745,13 @@ description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
 ]
 
-[[package]]
-name = "nvidia-nvshmem-cu12"
-version = "3.4.5"
-description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters."
-optional = false
-python-versions = ">=3"
-groups = ["main"]
-files = [
-    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b48363fc6964dede448029434c6abed6c5e37f823cb43c3bcde7ecfc0457e15"},
-    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd"},
-]
-
 [[package]]
 name = "nvidia-nvtx-cu12"
 version = "12.6.77"
@@ -3998,7 +3759,7 @@ description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b"},
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:adcaabb9d436c9761fca2b13959a2d237c5f9fd406c8e4b723c695409ff88059"},
@@ -4061,14 +3822,14 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.88.0"
+version = "1.108.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "openai-1.88.0-py3-none-any.whl", hash = "sha256:7edd7826b3b83f5846562a6f310f040c79576278bf8e3687b30ba05bb5dff978"},
-    {file = "openai-1.88.0.tar.gz", hash = "sha256:122d35e42998255cf1fc84560f6ee49a844e65c054cd05d3e42fda506b832bb1"},
+    {file = "openai-1.108.1-py3-none-any.whl", hash = "sha256:952fc027e300b2ac23be92b064eac136a2bc58274cec16f5d2906c361340d59b"},
+    {file = "openai-1.108.1.tar.gz", hash = "sha256:6648468c1aec4eacfa554001e933a9fa075f57bacfc27588c2e34456cee9fef9"},
 ]
 
 [package.dependencies]
@@ -4082,10 +3843,41 @@ tqdm = ">4"
 typing-extensions = ">=4.11,<5"
 
 [package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
+[[package]]
+name = "openai-harmony"
+version = "0.0.4"
+description = "OpenAI's response format for its open-weight model series gpt-oss"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "openai_harmony-0.0.4-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3586d90c899cd41f8624e7b82a48c289f6e4be56c66304ecaf3a0ba88963a73f"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:ef21a1e2384a65c62d5ec5e1cded9fe026f1d032d5c5d725110d1a8d330d8f54"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cf2344366f10981bbc0f6d9949a0b2bb87151d209ed295943ed6ad8eda37932"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2d8d16d84702059833fb03b841b28c25600c54e83cadccef79af44e1c81166b1"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:97f1fe3909733212cc6b36f0f199b1421a9c57b79ec665f0322bd604cec47340"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:567cc568b6bf7b4d041b0c9aa7d6b2c9394f8af6065bc87fa6d23f207b5af9a7"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31e9bcac0902a309e2fc688e52f247eec7fffcd00d17e958b9a83a8fea6519c2"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:96a63199c0d81095b5d5d1ae8ca82b64c1c13d18d4e30323ae9e8ab31bc80a3d"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:d38f2639f6bf7c3c34a5dfd79e29075811ae2fa9b895a63e76767f74a47a971e"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:038f1d6772d1be5213b36ae76e5d042022395ec35c428a73ccb8b839b2cecf6a"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:15e6d53a66502491a3675a536df30e271f976e6c5efe68250a65191efcb85c4f"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-win32.whl", hash = "sha256:b9ee9e9ab6a237cebbe16563c787a6e83f3fcc034075c3d321dab94448426282"},
+    {file = "openai_harmony-0.0.4-cp38-abi3-win_amd64.whl", hash = "sha256:746f751de5033b3dbcfcd4a726a4c56ce452c593ad3d54472d8597ce8d8b6d44"},
+    {file = "openai_harmony-0.0.4.tar.gz", hash = "sha256:5c67ac6df349236fb7b64f57c3dbb0273efcdca24314daa108f2a482c427106c"},
+]
+
+[package.dependencies]
+pydantic = ">=2.11.7"
+
+[package.extras]
+demo = ["fastapi", "uvicorn"]
+
 [[package]]
 name = "opencv-python"
 version = "4.11.0.86"
@@ -4105,10 +3897,10 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.5", markers = "python_version == \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.4", markers = "python_version == \"3.10\" and platform_system == \"Darwin\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version == \"3.10\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 
 [[package]]
@@ -4130,10 +3922,10 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 
 [[package]]
@@ -4218,88 +4010,59 @@ files = [
     {file = "orjson-3.10.18.tar.gz", hash = "sha256:e8da3947d92123eda795b68228cafe2724815621fe35e8e320a9e9593a4bcd53"},
 ]
 
-[[package]]
-name = "outlines"
-version = "0.1.11"
-description = "Probabilistic Generative Model Programming"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
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-    {file = "outlines-0.1.11.tar.gz", hash = "sha256:0997bd9da1cc050e430bd08995dc7d4bd855918bafa4531e49d3f37110a23aba"},
-]
-
-[package.dependencies]
-airportsdata = "*"
-cloudpickle = "*"
-diskcache = "*"
-interegular = "*"
-jinja2 = "*"
-jsonschema = "*"
-lark = "*"
-nest_asyncio = "*"
-numpy = "*"
-outlines_core = "0.1.26"
-pycountry = "*"
-pydantic = ">=2.0"
-referencing = "*"
-requests = "*"
-torch = "*"
-tqdm = "*"
-typing_extensions = "*"
-
-[package.extras]
-exllamav2 = ["exllamav2"]
-llamacpp = ["datasets", "llama-cpp-python", "numpy (<2)", "transformers"]
-mlxlm = ["datasets", "mlx-lm"]
-openai = ["openai"]
-serve = ["fastapi", "pydantic (>=2.0)", "uvicorn", "vllm (>=0.3.0)"]
-test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "exllamav2", "huggingface_hub", "jax", "llama-cpp-python", "mlx-lm (>=0.19.2) ; platform_machine == \"arm64\" and sys_platform == \"darwin\"", "openai (>=1.0.0)", "pillow", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers", "vllm ; sys_platform != \"darwin\""]
-transformers = ["accelerate", "datasets", "numpy (<2)", "transformers"]
-vllm = ["numpy (<2)", "transformers", "vllm"]
-
 [[package]]
 name = "outlines-core"
-version = "0.1.26"
+version = "0.2.10"
 description = "Structured Text Generation in Rust"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 ]
 
-[package.dependencies]
-interegular = "*"
-jsonschema = "*"
-
 [package.extras]
-test = ["accelerate", "asv", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface_hub", "numpy", "pillow", "pre-commit", "psutil", "pydantic", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "scipy", "setuptools-rust", "torch", "transformers"]
+test = ["asv", "coverage[toml] (>=5.1)", "diff-cover", "maturin[patchelf]", "numba", "numpy", "pre-commit", "psutil", "pydantic", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "scipy", "torch"]
 
 [[package]]
 name = "packaging"
@@ -4367,9 +4130,9 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -4422,22 +4185,6 @@ all = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "invoke (>=2.0)", "p
 gssapi = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8) ; platform_system == \"Windows\""]
 invoke = ["invoke (>=2.0)"]
 
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-name = "parso"
-version = "0.8.5"
-description = "A Python Parser"
-optional = false
-python-versions = ">=3.6"
-groups = ["main"]
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-[package.extras]
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-testing = ["docopt", "pytest"]
-
 [[package]]
 name = "partial-json-parser"
 version = "0.2.1.1.post6"
@@ -4492,22 +4239,6 @@ pydantic = ">=2.7.1,<3.0.0"
 pydantic-settings = ">=2.2.1,<3.0.0"
 pypdfium2 = "4.30.0"
 
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-optional = false
-python-versions = "*"
-groups = ["main"]
-markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
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-
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-
 [[package]]
 name = "pfzy"
 version = "0.3.4"
@@ -4656,6 +4387,22 @@ files = [
 [package.extras]
 twisted = ["twisted"]
 
+[[package]]
+name = "prometheus-fastapi-instrumentator"
+version = "7.1.0"
+description = "Instrument your FastAPI app with Prometheus metrics"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
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+starlette = ">=0.30.0,<1.0.0"
+
 [[package]]
 name = "prompt-toolkit"
 version = "3.0.51"
@@ -4822,34 +4569,6 @@ files = [
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 test = ["pytest", "pytest-xdist", "setuptools"]
 
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-
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-
-[package.extras]
-tests = ["pytest"]
-
 [[package]]
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 version = "9.0.0"
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 [package.dependencies]
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 pydantic = ">=2.5.2"
 typing-extensions = "*"
 
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 [[package]]
 name = "pyyaml"
 version = "6.0.2"
@@ -5947,6 +5514,70 @@ files = [
 [package.dependencies]
 cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
+[[package]]
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+serve-grpc = ["aiohttp (>=3.7)", "aiohttp_cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+train = ["fsspec", "pandas", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "tensorboardX (>=1.9)"]
+tune = ["fsspec", "pandas", "pyarrow (>=9.0.0)", "requests", "tensorboardX (>=1.9)"]
+
 [[package]]
 name = "referencing"
 version = "0.36.2"
@@ -6753,14 +6384,15 @@ test = ["pytest"]
 
 [[package]]
 name = "setuptools"
-version = "80.9.0"
+version = "79.0.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "python_version == \"3.12\""
 files = [
-    {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"},
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+    {file = "setuptools-79.0.1-py3-none-any.whl", hash = "sha256:e147c0549f27767ba362f9da434eab9c5dc0045d5304feb602a0af001089fc51"},
+    {file = "setuptools-79.0.1.tar.gz", hash = "sha256:128ce7b8f33c3079fd1b067ecbb4051a66e8526e7b65f6cec075dfc650ddfa88"},
 ]
 
 [package.extras]
@@ -6773,108 +6405,26 @@ test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=
 type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
-name = "sgl-kernel"
-version = "0.2.7"
-description = "Kernel Library for SGLang"
+name = "setuptools"
+version = "80.9.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "python_version < \"3.12\""
 files = [
-    {file = "sgl_kernel-0.2.7-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:5d5247a4505930290a574d7838fa49dc062fc50a53bb2e65b93744654bcd296f"},
-]
-
-[[package]]
-name = "sglang"
-version = "0.4.9.post4"
-description = "SGLang is yet another fast serving framework for large language models and vision language models."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-files = [
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-    {file = "sglang-0.4.9.post4.tar.gz", hash = "sha256:86ddc72959ec12fa63102192209391e96e670dc293221445f2780260e293dc97"},
+    {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"},
+    {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"},
 ]
 
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 [package.dependencies]
-asttokens = ">=2.1.0"
-executing = ">=1.2.0"
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 [package.extras]
-tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+docs = ["linkify-it-py", "myst-parser", "sphinx", "sphinx-book-theme"]
+test = ["pytest"]
 
 [[package]]
 name = "starlette"
@@ -7416,25 +6989,6 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
-[[package]]
-name = "timm"
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-huggingface_hub = "*"
-pyyaml = "*"
-safetensors = "*"
-torch = "*"
-torchvision = "*"
-
 [[package]]
 name = "tokenizers"
 version = "0.21.1"
@@ -7584,33 +7138,6 @@ typing-extensions = ">=4.10.0"
 opt-einsum = ["opt-einsum (>=3.3)"]
 optree = ["optree (>=0.13.0)"]
 
-[[package]]
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-description = ""
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-groups = ["main"]
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-
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-python-versions = "*"
-groups = ["main"]
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-
-[package.extras]
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-
 [[package]]
 name = "torchaudio"
 version = "2.7.1"
@@ -7728,37 +7255,21 @@ files = [
 [package.dependencies]
 tqdm = ">4.64"
 
-[[package]]
-name = "traitlets"
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-groups = ["main"]
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-
-[package.extras]
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-
 [[package]]
 name = "transformers"
-version = "4.53.2"
+version = "4.55.4"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
 files = [
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+    {file = "transformers-4.55.4-py3-none-any.whl", hash = "sha256:df28f3849665faba4af5106f0db4510323277c4bb595055340544f7e59d06458"},
+    {file = "transformers-4.55.4.tar.gz", hash = "sha256:574a30559bc273c7a4585599ff28ab6b676e96dc56ffd2025ecfce2fd0ab915d"},
 ]
 
 [package.dependencies]
 filelock = "*"
-huggingface-hub = ">=0.30.0,<1.0"
+huggingface-hub = ">=0.34.0,<1.0"
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
@@ -7770,22 +7281,23 @@ tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
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+all = ["Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "librosa", "mistral-common[opencv] (>=1.6.3)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (>=2.8.1)"]
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+dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
 hf-xet = ["hf_xet"]
-hub-kernels = ["kernels (>=0.6.1,<0.7)"]
-integrations = ["kernels (>=0.6.1,<0.7)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+hub-kernels = ["kernels (>=0.6.1,<=0.9)"]
+integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
+mistral-common = ["mistral-common[opencv] (>=1.6.3)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
 natten = ["natten (>=0.14.6,<0.15.0)"]
 num2words = ["num2words"]
@@ -7793,27 +7305,27 @@ onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
-retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+retrieval = ["datasets (>=2.15.0)", "faiss-cpu"]
 ruff = ["ruff (==0.11.2)"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
-serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
+serving = ["accelerate (>=0.26.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "starlette", "torch (>=2.1)", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
-timm = ["timm (<=1.0.11)"]
+timm = ["timm (!=1.0.18,<=1.0.19)"]
 tokenizers = ["tokenizers (>=0.21,<0.22)"]
 torch = ["accelerate (>=0.26.0)", "torch (>=2.1)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "tqdm (>=4.27)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -7824,7 +7336,7 @@ description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
 files = [
     {file = "triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b74db445b1c562844d3cfad6e9679c72e93fdfb1a90a24052b03bb5c49d1242e"},
     {file = "triton-3.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b"},
@@ -8093,6 +7605,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -8138,6 +7651,83 @@ dev = ["Cython (>=3.0,<4.0)", "setuptools (>=60)"]
 docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
 test = ["aiohttp (>=3.10.5)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
 
+[[package]]
+name = "vllm"
+version = "0.10.1.1"
+description = "A high-throughput and memory-efficient inference and serving engine for LLMs"
+optional = false
+python-versions = "<3.13,>=3.9"
+groups = ["main"]
+files = [
+    {file = "vllm-0.10.1.1-cp38-abi3-manylinux1_x86_64.whl", hash = "sha256:8ca0dd985e1ceac8540e7719c654f1553b3ba8a43c685ac8d3fa1366ffb6443a"},
+    {file = "vllm-0.10.1.1.tar.gz", hash = "sha256:3099824ee4bdaa14c4c4f7178a092101a0ec206d4c9371edf295849b2b730a39"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+blake3 = "*"
+cachetools = "*"
+cbor2 = "*"
+cloudpickle = "*"
+compressed-tensors = "0.10.2"
+depyf = "0.19.0"
+diskcache = "5.6.3"
+einops = "*"
+fastapi = {version = ">=0.115.0", extras = ["standard"]}
+filelock = ">=3.16.1"
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+[[package]]
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 python-versions = "<4,>=3.8"
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-]
-
 [[package]]
 name = "yarl"
 version = "1.20.1"
@@ -8704,27 +8180,7 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
-[[package]]
-name = "zipp"
-version = "3.23.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
-files = [
-    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
-    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.10,<3.14"
-content-hash = "3beaad28e88e75d74f3ff0fbb8e840b887cd3ec77fa63caf38822d0375bcda21"
+python-versions = ">=3.10,<3.13"
+content-hash = "29c35f6e59a464cee2b47eddbb0989f8319d62a41e44a2100af701534f1a8750"
diff --git a/pyproject.toml b/pyproject.toml
index 5af68c7..a696f86 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,9 +6,9 @@ authors = [
     {name = "Thomas Kosmas",email = "thomas510111@gmail.com"}
 ]
 readme = "README.md"
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.13"
 dependencies = [
-    "mineru[pipeline,vlm,sglang] (>=2.2.2,<3.0.0)",
+    "mineru[pipeline,vlm,vllm] (>=2.5.2,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)",
     "pypdf (>=4.2.0,<6.0.0)"
 ]

From 5fd10ac646eb240e0e59ef9c67403a00737091f7 Mon Sep 17 00:00:00 2001
From: Thomas Kosmas <thomas510111@gmail.com>
Date: Fri, 26 Sep 2025 14:23:15 +0300
Subject: [PATCH 16/16] mineru 2.5.4

---
 poetry.lock    | 68 +++++++++++++++++++++++++-------------------------
 pyproject.toml |  2 +-
 2 files changed, 35 insertions(+), 35 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 0d8a713..fed4dbb 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -2882,13 +2882,13 @@ files = [
 
 [[package]]
 name = "mineru"
-version = "2.5.2"
+version = "2.5.4"
 description = "A practical tool for converting PDF to Markdown"
 optional = false
 python-versions = "<3.14,>=3.10"
 groups = ["main"]
 files = [
-    {file = "mineru-2.5.2-py3-none-any.whl", hash = "sha256:49ac858f5ed7c13422c89903381e2ec69b5a99c356a3a109c859d24603c9ba63"},
+    {file = "mineru-2.5.4-py3-none-any.whl", hash = "sha256:684457de783bf7b44c8e18ffee9f321ce774165941e6cd5d907c12ed2a30a5e4"},
 ]
 
 [package.dependencies]
@@ -2906,7 +2906,7 @@ json-repair = ">=0.46.2"
 loguru = ">=0.7.2"
 magika = ">=0.6.2,<0.7.0"
 matplotlib = {version = ">=3.10,<4", optional = true, markers = "extra == \"pipeline\""}
-mineru-vl-utils = ">=0.1.7,<1"
+mineru-vl-utils = ">=0.1.11,<1"
 modelscope = ">=1.26.0"
 numpy = ">=1.21.6"
 omegaconf = {version = ">=2.3.0,<3", optional = true, markers = "extra == \"pipeline\""}
@@ -2924,33 +2924,33 @@ reportlab = "*"
 requests = "*"
 scikit-image = ">=0.25.0,<1.0.0"
 shapely = {version = ">=2.0.7,<3", optional = true, markers = "extra == \"pipeline\""}
-torch = {version = ">=2.6.0,<2.8.0", optional = true, markers = "extra == \"vlm\" or extra == \"pipeline\""}
+torch = {version = ">=2.6.0,<3", optional = true, markers = "extra == \"vlm\" or extra == \"pipeline\""}
 torchvision = {version = "*", optional = true, markers = "extra == \"pipeline\""}
 tqdm = ">=4.67.1"
 transformers = {version = ">=4.51.1,<5.0.0", optional = true, markers = "extra == \"vlm\" and extra == \"pipeline\""}
 ultralytics = {version = ">=8.3.48,<9", optional = true, markers = "extra == \"pipeline\""}
-vllm = {version = "0.10.1.1", optional = true, markers = "extra == \"vllm\""}
+vllm = {version = ">=0.10.1.1,<0.11", optional = true, markers = "extra == \"vllm\""}
 
 [package.extras]
 all = ["mineru[core]", "mineru[vllm]"]
 api = ["fastapi", "python-multipart", "uvicorn"]
 core = ["mineru[api]", "mineru[gradio]", "mineru[pipeline]", "mineru[vlm]"]
 gradio = ["gradio (>=5.34,<6)", "gradio-pdf (>=0.0.22)"]
-pipeline = ["PyYAML (>=6.0.2,<7)", "dill (>=0.3.8,<1)", "doclayout_yolo (==0.0.4)", "ftfy (>=6.3.1,<7)", "matplotlib (>=3.10,<4)", "omegaconf (>=2.3.0,<3)", "onnxruntime (>1.17.0)", "pyclipper (>=1.3.0,<2)", "shapely (>=2.0.7,<3)", "torch (>=2.6.0,<2.8.0)", "torchvision", "transformers (>=4.49.0,!=4.51.0,<5.0.0)", "ultralytics (>=8.3.48,<9)"]
+pipeline = ["PyYAML (>=6.0.2,<7)", "dill (>=0.3.8,<1)", "doclayout_yolo (==0.0.4)", "ftfy (>=6.3.1,<7)", "matplotlib (>=3.10,<4)", "omegaconf (>=2.3.0,<3)", "onnxruntime (>1.17.0)", "pyclipper (>=1.3.0,<2)", "shapely (>=2.0.7,<3)", "torch (>=2.6.0,<3)", "torchvision", "transformers (>=4.49.0,!=4.51.0,<5.0.0)", "ultralytics (>=8.3.48,<9)"]
 test = ["coverage", "fuzzywuzzy", "mineru[core]", "pytest", "pytest-cov"]
-vllm = ["vllm (==0.10.1.1)"]
-vlm = ["accelerate (>=1.5.1)", "torch (>=2.6.0,<2.8.0)", "transformers (>=4.51.1,<5.0.0)"]
+vllm = ["vllm (>=0.10.1.1,<0.11)"]
+vlm = ["accelerate (>=1.5.1)", "torch (>=2.6.0,<3)", "transformers (>=4.51.1,<5.0.0)"]
 
 [[package]]
 name = "mineru-vl-utils"
-version = "0.1.8"
+version = "0.1.11"
 description = "Utilities for MinerU Vision-Language models"
 optional = false
 python-versions = "<3.14,>=3.10"
 groups = ["main"]
 files = [
-    {file = "mineru_vl_utils-0.1.8-py3-none-any.whl", hash = "sha256:6e98dd3ae87323379f62de44d3f8f7c027f0574043524c81ae76c979eea490a4"},
-    {file = "mineru_vl_utils-0.1.8.tar.gz", hash = "sha256:e67a83d93297b5bdaf20ccc45de82ec10e4794af8db96294ccedeeea44114ef6"},
+    {file = "mineru_vl_utils-0.1.11-py3-none-any.whl", hash = "sha256:25b94a5036d6d03eb34fbb4fce94189cd36064c7eadf6ad8608e91ace79cc325"},
+    {file = "mineru_vl_utils-0.1.11.tar.gz", hash = "sha256:81b272be009a38152af83681eccebfcdda4da15f877a7fa0696260fc456cb897"},
 ]
 
 [package.dependencies]
@@ -2960,8 +2960,8 @@ pillow = "*"
 pydantic = "*"
 
 [package.extras]
-transformers = ["accelerate (>=1.5.1)", "torch (>=2.6.0,<2.8.0)", "transformers (>=4.51.1,<5.0.0)"]
-vllm = ["vllm (==0.10.1.1)"]
+transformers = ["accelerate (>=1.5.1)", "torch (>=2.6.0,<3)", "torchvision", "transformers (>=4.51.1,<5.0.0)"]
+vllm = ["vllm (>=0.10.1.1,<0.11)"]
 
 [[package]]
 name = "mistral-common"
@@ -3005,7 +3005,7 @@ description = "A framework for machine learning on Apple silicon."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
+markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
 files = [
     {file = "mlx-0.29.1-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:6a10d589a439346be1b7d8d0bbfe6cba45f1ef592f406b247b2da7131a9242c2"},
     {file = "mlx-0.29.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:673505b631f05041d7634366c8f52bf38d80439af44592f6e4291e59bb17a243"},
@@ -3044,7 +3044,7 @@ description = "LLMs with MLX and the Hugging Face Hub"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
+markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
 files = [
     {file = "mlx_lm-0.28.0-py3-none-any.whl", hash = "sha256:a2002b14a73ac6d88685a5e6ff5c5d86811157288468bf16aff7a94e6c872f3d"},
     {file = "mlx_lm-0.28.0.tar.gz", hash = "sha256:42d0304e45a09e68c73a851210c019a6fd3fc61221632c9448cf03b31bc4cac5"},
@@ -3070,7 +3070,7 @@ description = "A framework for machine learning on Apple silicon."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_machine == \"arm64\" and platform_system == \"Darwin\""
+markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\""
 files = [
     {file = "mlx_metal-0.29.1-py3-none-macosx_13_0_arm64.whl", hash = "sha256:b9dadd432948eab196ed110db0dc745795fd516b7124c0d3c4d176fee678a07a"},
     {file = "mlx_metal-0.29.1-py3-none-macosx_14_0_arm64.whl", hash = "sha256:824b939b721a964a455aeea4d0e956e4cc945f3333522c1e72a077ae774bca49"},
@@ -3553,7 +3553,7 @@ description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb"},
     {file = "nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:235f728d6e2a409eddf1df58d5b0921cf80cfa9e72b9f2775ccb7b4a87984668"},
@@ -3567,7 +3567,7 @@ description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:166ee35a3ff1587f2490364f90eeeb8da06cd867bd5b701bf7f9a02b78bc63fc"},
     {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_aarch64.whl", hash = "sha256:358b4a1d35370353d52e12f0a7d1769fc01ff74a191689d3870b2123156184c4"},
@@ -3583,7 +3583,7 @@ description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13"},
     {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53"},
@@ -3597,7 +3597,7 @@ description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd"},
     {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e"},
@@ -3613,7 +3613,7 @@ description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def"},
     {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2"},
@@ -3630,7 +3630,7 @@ description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6"},
     {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb"},
@@ -3649,7 +3649,7 @@ description = "cuFile GPUDirect libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159"},
     {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db"},
@@ -3662,7 +3662,7 @@ description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8"},
     {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf"},
@@ -3678,7 +3678,7 @@ description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0"},
     {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c"},
@@ -3699,7 +3699,7 @@ description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887"},
     {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
@@ -3718,7 +3718,7 @@ description = "NVIDIA cuSPARSELt"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1"},
     {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46"},
@@ -3732,7 +3732,7 @@ description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522"},
     {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6"},
@@ -3745,7 +3745,7 @@ description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
     {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
@@ -3759,7 +3759,7 @@ description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f44f8d86bb7d5629988d61c8d3ae61dddb2015dee142740536bc7481b022fe4b"},
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:adcaabb9d436c9761fca2b13959a2d237c5f9fd406c8e4b723c695409ff88059"},
@@ -7336,7 +7336,7 @@ description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "triton-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b74db445b1c562844d3cfad6e9679c72e93fdfb1a90a24052b03bb5c49d1242e"},
     {file = "triton-3.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b31e3aa26f8cb3cc5bf4e187bf737cbacf17311e1112b781d4a059353dfd731b"},
@@ -8004,7 +8004,7 @@ description = "XFormers: A collection of composable Transformer building blocks.
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
     {file = "xformers-0.0.31-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:50aedaea82a38d7d28631f77617d1ed1f6f37c60bdc4bf167a69cbc0e39cee76"},
     {file = "xformers-0.0.31-cp39-abi3-win_amd64.whl", hash = "sha256:23331bdb9831ba0df96f55258537ca0df7ad888efc75cea97a0de79b5e2291c4"},
@@ -8183,4 +8183,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.13"
-content-hash = "29c35f6e59a464cee2b47eddbb0989f8319d62a41e44a2100af701534f1a8750"
+content-hash = "e8937a2fad01c0729e075f1b83422acc0b5bdac0d3b296b1f5605663a0484c47"
diff --git a/pyproject.toml b/pyproject.toml
index a696f86..35fc0d0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10,<3.13"
 dependencies = [
-    "mineru[pipeline,vlm,vllm] (>=2.5.2,<3.0.0)",
+    "mineru[pipeline,vlm,vllm] (>=2.5.4,<3.0.0)",
     "runpod (>=1.7.12,<2.0.0)",
     "pypdf (>=4.2.0,<6.0.0)"
 ]