diff --git a/Dockerfile b/Dockerfile
index 474a12fc..5baa1e22 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,7 +24,7 @@ ENV VIRTUAL_ENV=/app/.venv \
     ENABLE_AIOHTTPCLIENT=false \
     ENABLE_HTTPX=false
 
-RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 curl
+RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 libgomp1 curl
 
 # setup paddleocr dependencies
 RUN mkdir -p /root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer \
diff --git a/Dockerfile_gpu b/Dockerfile_gpu
index 64fb764b..cf87ff08 100644
--- a/Dockerfile_gpu
+++ b/Dockerfile_gpu
@@ -27,7 +27,7 @@ ENV VIRTUAL_ENV=/app/.venv \
     ENABLE_AIOHTTPCLIENT=false \
     ENABLE_HTTPX=false
 
-RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 curl
+RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 libgomp1 curl
 
 # setup paddleocr dependencies
 RUN mkdir -p /root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer \
diff --git a/poetry.lock b/poetry.lock
index ed3970bf..8a8432dd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,13 +13,13 @@ files = [
 
 [[package]]
 name = "accelerate"
-version = "1.2.0"
+version = "1.2.1"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.9.0"
 files = [
-    {file = "accelerate-1.2.0-py3-none-any.whl", hash = "sha256:815708367eb83cd682e120da634b2cf318729bff95f30e2f046c086aae20201e"},
-    {file = "accelerate-1.2.0.tar.gz", hash = "sha256:4187a9dea21101255ada3a1974532585feeb6ca8b681693dba362d6d25e85ef2"},
+    {file = "accelerate-1.2.1-py3-none-any.whl", hash = "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf"},
+    {file = "accelerate-1.2.1.tar.gz", hash = "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5"},
 ]
 
 [package.dependencies]
@@ -66,87 +66,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.10"
+version = "3.11.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -163,13 +163,13 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
-    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
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+    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
+    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
 ]
 
 [package.dependencies]
@@ -296,20 +296,31 @@ alibabacloud-tea-fileform = ">=0.0.3,<1.0.0"
 alibabacloud-tea-openapi = ">=0.3.10,<1.0.0"
 alibabacloud-tea-util = ">=0.3.12,<1.0.0"
 
+[[package]]
+name = "alibabacloud-ha3-util"
+version = "0.0.1"
+description = "Alibaba Cloud Searchengine Util Library for Python"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "alibabacloud_ha3_util-0.0.1.tar.gz", hash = "sha256:1cbc59b53126bbfea82f06f812b6ea462d17a3433d1a79e558b5e64d092a7a24"},
+]
+
 [[package]]
 name = "alibabacloud-ha3engine-vector"
-version = "1.1.10"
+version = "1.1.11"
 description = "Alibaba Cloud Ha3engine-Vector SDK Library for Python"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "alibabacloud_ha3engine_vector-1.1.10.tar.gz", hash = "sha256:595298f5652a28a099ba746bc7b015dbb9084007ef89d3dd799e03ea64252fce"},
+    {file = "alibabacloud_ha3engine_vector-1.1.11.tar.gz", hash = "sha256:5c6c2c4202bff874718e48321dff15ecdc8f4767438d4d5e742e5e5ecda1f252"},
 ]
 
 [package.dependencies]
 alibabacloud_darabonba_encode_util = ">=0.0.2,<1.0.0"
 alibabacloud_darabonba_string = ">=0.0.4,<1.0.0"
-alibabacloud_tea_util = ">=0.3.12,<1.0.0"
+alibabacloud_ha3_util = ">=0.0.1,<1.0.0"
+alibabacloud_tea_util = ">=0.3.13,<1.0.0"
 
 [[package]]
 name = "alibabacloud-openapi-util"
@@ -445,12 +456,12 @@ alibabacloud-tea = ">=0.0.1"
 
 [[package]]
 name = "aliyun-bootstrap"
-version = "1.0.2"
+version = "1.0.3"
 description = "aliyun  bootstrap"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aliyun_bootstrap-1.0.2-py3-none-any.whl", hash = "sha256:09dbf00ed82d2b1aa25a5347f89503142a9d731c552455542b25fdbb2daf5ff6"},
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 ]
 
 [package.dependencies]
@@ -487,30 +498,6 @@ files = [
 [package.dependencies]
 aliyun-python-sdk-core = ">=2.11.5"
 
-[[package]]
-name = "altair"
-version = "5.5.0"
-description = "Vega-Altair: A declarative statistical visualization library for Python."
-optional = false
-python-versions = ">=3.9"
-files = [
-    {file = "altair-5.5.0-py3-none-any.whl", hash = "sha256:91a310b926508d560fe0148d02a194f38b824122641ef528113d029fcd129f8c"},
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-]
-
-[package.dependencies]
-jinja2 = "*"
-jsonschema = ">=3.0"
-narwhals = ">=1.14.2"
-packaging = "*"
-typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.14\""}
-
-[package.extras]
-all = ["altair-tiles (>=0.3.0)", "anywidget (>=0.9.0)", "numpy", "pandas (>=1.1.3)", "pyarrow (>=11)", "vega-datasets (>=0.9.0)", "vegafusion[embed] (>=1.6.6)", "vl-convert-python (>=1.7.0)"]
-dev = ["duckdb (>=1.0)", "geopandas", "hatch (>=1.13.0)", "ipython[kernel]", "mistune", "mypy", "pandas (>=1.1.3)", "pandas-stubs", "polars (>=0.20.3)", "pyarrow-stubs", "pytest", "pytest-cov", "pytest-xdist[psutil] (>=3.5,<4.0)", "ruff (>=0.6.0)", "types-jsonschema", "types-setuptools"]
-doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
-save = ["vl-convert-python (>=1.7.0)"]
-
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -534,22 +521,23 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -679,19 +667,19 @@ six = "*"
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -749,13 +737,13 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
 [[package]]
 name = "bce-python-sdk"
-version = "0.9.23"
+version = "0.9.25"
 description = "BCE SDK for python"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -841,32 +829,32 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.35.78"
+version = "1.36.0"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.10.0,<0.11.0"
+s3transfer = ">=0.11.0,<0.12.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.78"
+version = "1.36.0"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -875,7 +863,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.22.0)"]
+crt = ["awscrt (==0.23.4)"]
 
 [[package]]
 name = "braceexpand"
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-[package.dependencies]
-packaging = ">=23.1"
-
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1261,13 +1264,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cloudpickle"
-version = "3.1.0"
+version = "3.1.1"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1425,73 +1428,73 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 
 [[package]]
 name = "coverage"
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+version = "7.6.10"
 description = "Code coverage measurement for Python"
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+    {file = "coverage-7.6.10-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ccc2b70a7ed475c68ceb548bf69cec1e27305c1c2606a5eb7c3afff56a1b3b27"},
+    {file = "coverage-7.6.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5e37dc41d57ceba70956fa2fc5b63c26dba863c946ace9705f8eca99daecdc4"},
+    {file = "coverage-7.6.10-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0aa9692b4fdd83a4647eeb7db46410ea1322b5ed94cd1715ef09d1d5922ba87f"},
+    {file = "coverage-7.6.10-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa744da1820678b475e4ba3dfd994c321c5b13381d1041fe9c608620e6676e25"},
+    {file = "coverage-7.6.10-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:c0b1818063dc9e9d838c09e3a473c1422f517889436dd980f5d721899e66f315"},
+    {file = "coverage-7.6.10-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:59af35558ba08b758aec4d56182b222976330ef8d2feacbb93964f576a7e7a90"},
+    {file = "coverage-7.6.10-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7ed2f37cfce1ce101e6dffdfd1c99e729dd2ffc291d02d3e2d0af8b53d13840d"},
+    {file = "coverage-7.6.10-cp39-cp39-win32.whl", hash = "sha256:4bcc276261505d82f0ad426870c3b12cb177752834a633e737ec5ee79bbdff18"},
+    {file = "coverage-7.6.10-cp39-cp39-win_amd64.whl", hash = "sha256:457574f4599d2b00f7f637a0700a6422243b3565509457b2dbd3f50703e11f59"},
+    {file = "coverage-7.6.10-pp39.pp310-none-any.whl", hash = "sha256:fd34e7b3405f0cc7ab03d54a334c17a9e802897580d964bd8c2001f4b9fd488f"},
+    {file = "coverage-7.6.10.tar.gz", hash = "sha256:7fb105327c8f8f0682e29843e2ff96af9dcbe5bab8eeb4b398c6a33a16d80a23"},
 ]
 
 [package.extras]
@@ -1795,12 +1798,12 @@ files = [
 
 [[package]]
 name = "dashscope"
-version = "1.20.14"
+version = "1.21.0"
 description = "dashscope client sdk library"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "dashscope-1.20.14-py3-none-any.whl", hash = "sha256:1e20f56043150ac0adb70c5ec04ac202d87267ca8da63e5c94980dd10aeab7af"},
+    {file = "dashscope-1.21.0-py3-none-any.whl", hash = "sha256:275833f20b3655a86ece6839a11671a3c9fd2dee946615d20ffb281d96dc825c"},
 ]
 
 [package.dependencies]
@@ -2131,22 +2134,22 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "6.2.12"
+version = "6.4.2"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-6.2.12-py3-none-any.whl", hash = "sha256:0d379c1f845b632a41553efb13d571788f19ad289229e641a27b5710d92097a6"},
-    {file = "duckduckgo_search-6.2.12.tar.gz", hash = "sha256:04f9f1459763668d268344c7a32d943173d0e060dad53a5c2df4b4d3ca9a74cf"},
+    {file = "duckduckgo_search-6.4.2-py3-none-any.whl", hash = "sha256:1e9e64a5379a5330bd99885c053185c9e133eb30f397701fdd6e4f448da1843c"},
+    {file = "duckduckgo_search-6.4.2.tar.gz", hash = "sha256:173c6988cbac1f3ccecc2c645e44e69fc49c4e94c06ee7c09e9dd8ad39d63b0c"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7"
-primp = ">=0.6.2"
+primp = ">=0.9.1"
 
 [package.extras]
-dev = ["mypy (>=1.11.1)", "pytest (>=8.3.1)", "pytest-asyncio (>=0.23.8)", "ruff (>=0.6.1)"]
-lxml = ["lxml (>=5.2.2)"]
+dev = ["mypy (>=1.13.0)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.0)", "ruff (>=0.8.3)"]
+lxml = ["lxml (>=5.3.0)"]
 
 [[package]]
 name = "dynaconf"
@@ -2206,13 +2209,13 @@ files = [
 
 [[package]]
 name = "elastic-transport"
-version = "8.15.1"
+version = "8.17.0"
 description = "Transport classes and utilities shared among Python Elastic client libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "elastic_transport-8.15.1-py3-none-any.whl", hash = "sha256:b5e82ff1679d8c7705a03fd85c7f6ef85d6689721762d41228dd312e34f331fc"},
-    {file = "elastic_transport-8.15.1.tar.gz", hash = "sha256:9cac4ab5cf9402668cf305ae0b7d93ddc0c7b61461d6d1027850db6da9cc5742"},
+    {file = "elastic_transport-8.17.0-py3-none-any.whl", hash = "sha256:59f553300866750e67a38828fede000576562a0e66930c641adb75249e0c95af"},
+    {file = "elastic_transport-8.17.0.tar.gz", hash = "sha256:e755f38f99fa6ec5456e236b8e58f0eb18873ac8fe710f74b91a16dd562de2a5"},
 ]
 
 [package.dependencies]
@@ -2224,13 +2227,13 @@ develop = ["aiohttp", "furo", "httpcore (<1.0.6)", "httpx", "opentelemetry-api",
 
 [[package]]
 name = "elasticsearch"
-version = "8.16.0"
+version = "8.17.0"
 description = "Python client for Elasticsearch"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "elasticsearch-8.16.0-py3-none-any.whl", hash = "sha256:83d9fe09e8e95880559da43e44976c1e11cc63fe96bc0c0592f3d64f371772bf"},
-    {file = "elasticsearch-8.16.0.tar.gz", hash = "sha256:d2aaa92f44ebea3c4147389aeba038c0b42a017f8c52ff35b1e7ebc34c49adb7"},
+    {file = "elasticsearch-8.17.0-py3-none-any.whl", hash = "sha256:15965240fe297279f0e68b260936d9ced9606aa7ef8910b9b56727f96ef00d5b"},
+    {file = "elasticsearch-8.17.0.tar.gz", hash = "sha256:c1069bf2204ba8fab29ff00b2ce6b37324b2cc6ff593283b97df43426ec13053"},
 ]
 
 [package.dependencies]
@@ -2313,13 +2316,13 @@ numpy = ">=1.14.0"
 
 [[package]]
 name = "eval-type-backport"
-version = "0.2.0"
+version = "0.2.2"
 description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "eval_type_backport-0.2.0-py3-none-any.whl", hash = "sha256:ac2f73d30d40c5a30a80b8739a789d6bb5e49fdffa66d7912667e2015d9c9933"},
-    {file = "eval_type_backport-0.2.0.tar.gz", hash = "sha256:68796cfbc7371ebf923f03bdf7bef415f3ec098aeced24e054b253a0e78f7b37"},
+    {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"},
+    {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"},
 ]
 
 [package.extras]
@@ -2431,22 +2434,23 @@ robust-downloader = ">=0.0.2"
 
 [[package]]
 name = "fastapi"
-version = "0.110.3"
+version = "0.115.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"},
-    {file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"},
+    {file = "fastapi-0.115.2-py3-none-any.whl", hash = "sha256:61704c71286579cc5a598763905928f24ee98bfcc07aabe84cfefb98812bbc86"},
+    {file = "fastapi-0.115.2.tar.gz", hash = "sha256:3995739e0b09fa12f984bce8fa9ae197b35d433750d3d312422d846e283697ee"},
 ]
 
 [package.dependencies]
 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"
-starlette = ">=0.37.2,<0.38.0"
+starlette = ">=0.37.2,<0.41.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
-all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "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)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "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)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fasttext-wheel"
@@ -2571,44 +2575,15 @@ numpy = "*"
 pybind11 = ">=2.2"
 setuptools = ">=0.7.0"
 
-[[package]]
-name = "feedfinder2"
-version = "0.0.4"
-description = "Find the feed URLs for a website."
-optional = false
-python-versions = "*"
-files = [
-    {file = "feedfinder2-0.0.4.tar.gz", hash = "sha256:3701ee01a6c85f8b865a049c30ba0b4608858c803fe8e30d1d289fdbe89d0efe"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-requests = "*"
-six = "*"
-
-[[package]]
-name = "feedparser"
-version = "6.0.11"
-description = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "feedparser-6.0.11-py3-none-any.whl", hash = "sha256:0be7ee7b395572b19ebeb1d6aafb0028dee11169f1c934e0ed67d54992f4ad45"},
-    {file = "feedparser-6.0.11.tar.gz", hash = "sha256:c9d0407b64c6f2a065d0ebb292c2b35c01050cc0dc33757461aaabdc4c4184d5"},
-]
-
-[package.dependencies]
-sgmllib3k = "*"
-
 [[package]]
 name = "ffmpy"
-version = "0.4.0"
+version = "0.5.0"
 description = "A simple Python wrapper for FFmpeg"
 optional = false
-python-versions = "<4.0.0,>=3.8.1"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
-    {file = "ffmpy-0.4.0.tar.gz", hash = "sha256:131b57794e802ad555f579007497f7a3d0cab0583d37496c685b8acae4837b1d"},
+    {file = "ffmpy-0.5.0-py3-none-any.whl", hash = "sha256:df3799cf5816daa56d4959a023630ee53c6768b66009dae6d131519ba4b80233"},
+    {file = "ffmpy-0.5.0.tar.gz", hash = "sha256:277e131f246d18e9dcfee9bb514c50749031c43582ce5ef82c57b51e3d3955c3"},
 ]
 
 [[package]]
@@ -2627,6 +2602,17 @@ docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
 typing = ["typing-extensions (>=4.12.2)"]
 
+[[package]]
+name = "filetype"
+version = "1.2.0"
+description = "Infer file type and MIME type of any file/buffer. No external dependencies."
+optional = false
+python-versions = "*"
+files = [
+    {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"},
+    {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
+]
+
 [[package]]
 name = "fire"
 version = "0.7.0"
@@ -2727,13 +2713,13 @@ Werkzeug = ">=1.0.1"
 
 [[package]]
 name = "flatbuffers"
-version = "24.3.25"
+version = "24.12.23"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
 files = [
-    {file = "flatbuffers-24.3.25-py2.py3-none-any.whl", hash = "sha256:8dbdec58f935f3765e4f7f3cf635ac3a77f83568138d6a2311f524ec96364812"},
-    {file = "flatbuffers-24.3.25.tar.gz", hash = "sha256:de2ec5b203f21441716617f38443e0a8ebf3d25bf0d9c0bb0ce68fa00ad546a4"},
+    {file = "flatbuffers-24.12.23-py2.py3-none-any.whl", hash = "sha256:c418e0d48890f4142b92fd3e343e73a48f194e1f80075ddcc5793779b3585444"},
+    {file = "flatbuffers-24.12.23.tar.gz", hash = "sha256:2910b0bc6ae9b6db78dd2b18d0b7a0709ba240fb5585f286a3a2b30785c22dac"},
 ]
 
 [[package]]
@@ -2912,13 +2898,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2024.12.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
-    {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
+    {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
+    {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
 ]
 
 [package.dependencies]
@@ -3184,13 +3170,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.154.0"
+version = "2.159.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_python_client-2.154.0-py2.py3-none-any.whl", hash = "sha256:a521bbbb2ec0ba9d6f307cdd64ed6e21eeac372d1bd7493a4ab5022941f784ad"},
-    {file = "google_api_python_client-2.154.0.tar.gz", hash = "sha256:1b420062e03bfcaa1c79e2e00a612d29a6a934151ceb3d272fe150a656dc8f17"},
+    {file = "google_api_python_client-2.159.0-py2.py3-none-any.whl", hash = "sha256:baef0bb631a60a0bd7c0bf12a5499e3a40cd4388484de7ee55c1950bf820a0cf"},
+    {file = "google_api_python_client-2.159.0.tar.gz", hash = "sha256:55197f430f25c907394b44fa078545ffef89d33fd4dca501b7db9f0d8e224bd6"},
 ]
 
 [package.dependencies]
@@ -3202,13 +3188,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.36.0"
+version = "2.37.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_auth-2.36.0-py2.py3-none-any.whl", hash = "sha256:51a15d47028b66fd36e5c64a82d2d57480075bccc7da37cde257fc94177a61fb"},
-    {file = "google_auth-2.36.0.tar.gz", hash = "sha256:545e9618f2df0bcbb7dcbc45a546485b1212624716975a1ea5ae8149ce769ab1"},
+    {file = "google_auth-2.37.0-py2.py3-none-any.whl", hash = "sha256:42664f18290a6be591be5329a96fe30184be1a1badb7292a7f686a9659de9ca0"},
+    {file = "google_auth-2.37.0.tar.gz", hash = "sha256:0054623abf1f9c83492c63d3f47e77f0a544caa3d40b2d98e099a611c2dd5d00"},
 ]
 
 [package.dependencies]
@@ -3219,6 +3205,7 @@ rsa = ">=3.1.4,<5"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
+pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
 pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
@@ -3275,64 +3262,64 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gradio"
-version = "3.41.0"
+version = "5.12.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 files = [
-    {file = "gradio-3.41.0-py3-none-any.whl", hash = "sha256:f6576881919ba1e1523febb70d963b42324c64c87c2417beabc2a2a015e61d81"},
-    {file = "gradio-3.41.0.tar.gz", hash = "sha256:762dec6947fe00457d3d76398ee1363f92403de4838796f9a10fd0644c9ed18d"},
+    {file = "gradio-5.12.0-py3-none-any.whl", hash = "sha256:b4b79a2c537131a8a5e23046565e64da40156ac24f9082e563e734e89641e160"},
 ]
 
 [package.dependencies]
 aiofiles = ">=22.0,<24.0"
-altair = ">=4.2.0,<6.0"
-fastapi = "*"
+anyio = ">=3.0,<5.0"
+fastapi = ">=0.115.2,<1.0"
 ffmpy = "*"
-gradio-client = "0.5.0"
-httpx = "*"
-huggingface-hub = ">=0.14.0"
-importlib-resources = ">=1.3,<7.0"
+gradio-client = "1.5.4"
+httpx = ">=0.24.1"
+huggingface-hub = ">=0.25.1"
 jinja2 = "<4.0"
 markupsafe = ">=2.0,<3.0"
-matplotlib = ">=3.0,<4.0"
-numpy = ">=1.0,<2.0"
+numpy = ">=1.0,<3.0"
 orjson = ">=3.0,<4.0"
 packaging = "*"
 pandas = ">=1.0,<3.0"
-pillow = ">=8.0,<11.0"
-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,<3.0.0"
+pillow = ">=8.0,<12.0"
+pydantic = ">=2.0"
 pydub = "*"
-python-multipart = "*"
+python-multipart = ">=0.0.18"
 pyyaml = ">=5.0,<7.0"
-requests = ">=2.0,<3.0"
+ruff = {version = ">=0.2.2", markers = "sys_platform != \"emscripten\""}
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 [package.dependencies]
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 [[package]]
 name = "greenlet"
@@ -3422,70 +3409,70 @@ test = ["objgraph", "psutil"]
 
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+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.69.0)"]
 
 [[package]]
 name = "gunicorn"
@@ -3582,13 +3569,13 @@ pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -3603,23 +3590,23 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.27.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 [package.dependencies]
 aiohttp = {version = "*", optional = true, markers = "extra == \"inference\""}
 filelock = "*"
 fsspec = ">=2023.5.0"
-minijinja = {version = ">=1.0", optional = true, markers = "extra == \"inference\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -3627,17 +3614,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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 hf-transfer = ["hf-transfer (>=0.1.4)"]
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-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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-torch = ["safetensors", "torch"]
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+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -3672,13 +3659,13 @@ packaging = "*"
 
 [[package]]
 name = "identify"
-version = "2.6.3"
+version = "2.6.5"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -3776,25 +3763,6 @@ perf = ["ipython"]
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 type = ["pytest-mypy"]
 
-[[package]]
-name = "importlib-resources"
-version = "6.4.5"
-description = "Read resources from Python packages"
-optional = false
-python-versions = ">=3.8"
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-[package.extras]
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-test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
-type = ["pytest-mypy"]
-
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -3855,25 +3823,15 @@ files = [
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 ]
 
-[[package]]
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-description = "Chinese Words Segementation Utilities"
-optional = false
-python-versions = "*"
-files = [
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-]
-
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3989,162 +3947,93 @@ files = [
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 ]
 
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-optional = false
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-rpds-py = ">=0.7.1"
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-
-[[package]]
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-[package.dependencies]
-referencing = ">=0.31.0"
-
 [[package]]
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+version = "1.4.8"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
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@@ -4180,87 +4069,31 @@ dev = ["changelist (==0.5)"]
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 pillow = ">=9.0.0"
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 PyYAML = ">=6.0.1"
 requests = ">=2.31.0"
 SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
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 [[package]]
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 [[package]]
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 [[package]]
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 files = [
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 [[package]]
 name = "llama-index-llms-openai"
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 [[package]]
 name = "llama-index-tools-google"
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+version = "0.3.0"
 description = "llama-index tools google integration"
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 [package.dependencies]
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 [[package]]
 name = "llama-index-vector-stores-alibabacloud-opensearch"
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 description = "llama-index vector_stores Alibaba Cloud OpenSearch integration"
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 files = [
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 [[package]]
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 [[package]]
@@ -4882,13 +4530,13 @@ files = [
 
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 testing = ["coverage", "pyyaml"]
 
+[[package]]
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+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
 [[package]]
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@@ -5219,13 +4891,13 @@ files = [
 
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 [[package]]
@@ -5290,52 +4962,45 @@ dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setupto
 
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 python-dateutil = ">=2.7"
 
 [package.extras]
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+
+[[package]]
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+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
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 python-versions = ">=3.7"
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 [package.dependencies]
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 [[package]]
 name = "mistletoe"
 version = "1.4.0"
@@ -5416,13 +5075,13 @@ tbb = "==2021.*"
 
 [[package]]
 name = "modelscope"
-version = "1.21.0"
+version = "1.22.2"
 description = "ModelScope: bring the notion of Model-as-a-Service to life."
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -5431,30 +5090,30 @@ tqdm = ">=4.64.0"
 urllib3 = ">=1.26"
 
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 ]
 
 [package.extras]
@@ -6165,13 +5778,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.57.2"
+version = "1.59.7"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -6186,6 +5799,7 @@ typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<15)"]
 
 [[package]]
 name = "opencv-contrib-python"
@@ -6246,13 +5860,13 @@ numpy = {version = ">=1.23.5", markers = "python_version >= \"3.11\""}
 
 [[package]]
 name = "openinference-instrumentation"
-version = "0.1.19"
+version = "0.1.20"
 description = "OpenInference instrumentation utilities"
 optional = false
 python-versions = "<3.14,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -6311,13 +5925,13 @@ et-xmlfile = "*"
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -6326,51 +5940,51 @@ importlib-metadata = ">=6.0,<=8.5.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.49b2"
+version = "0.50b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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+opentelemetry-semantic-conventions = "0.50b0"
 packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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+opentelemetry-api = "1.29.0"
+opentelemetry-semantic-conventions = "0.50b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.49b2"
+version = "0.50b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-opentelemetry-api = "1.28.2"
+opentelemetry-api = "1.29.0"
 
 [[package]]
 name = "opt-einsum"
@@ -6392,86 +6006,86 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 
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 six = "*"
 
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 test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
@@ -7700,21 +7302,18 @@ files = [
 ]
 
 [[package]]
-name = "pyee"
-version = "12.0.0"
-description = "A rough port of Node.js's EventEmitter to Python with a few tricks of its own"
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-[package.dependencies]
-typing-extensions = "*"
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 [package.extras]
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+windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyjwt"
@@ -7763,19 +7362,19 @@ model = ["milvus-model (>=0.1.0)"]
 
 [[package]]
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 ]
 
 [[package]]
@@ -7813,13 +7412,13 @@ scipy = ">=1.0"
 
 [[package]]
 name = "pyparsing"
-version = "3.2.0"
+version = "3.2.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -7827,20 +7426,21 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "4.3.1"
+version = "5.1.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
-python-versions = ">=3.6"
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 files = [
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 ]
 
 [package.extras]
-crypto = ["PyCryptodome", "cryptography"]
+crypto = ["cryptography"]
+cryptodome = ["PyCryptodome"]
 dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "pytest-timeout", "pytest-xdist", "wheel"]
 docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
-full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
+full = ["Pillow (>=8.0.0)", "cryptography"]
 image = ["Pillow (>=8.0.0)"]
 
 [[package]]
@@ -7863,24 +7463,24 @@ image = ["Pillow"]
 
 [[package]]
 name = "pypdfium2"
-version = "4.30.0"
+version = "4.30.1"
 description = "Python bindings to PDFium"
 optional = false
 python-versions = ">=3.6"
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 ]
 
 [[package]]
@@ -7897,18 +7497,6 @@ files = [
 [package.extras]
 dev = ["build", "flake8", "mypy", "pytest", "twine"]
 
-[[package]]
-name = "pysocks"
-version = "1.7.1"
-description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-files = [
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-
 [[package]]
 name = "pytest"
 version = "8.3.4"
@@ -8024,13 +7612,13 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-multipart"
-version = "0.0.19"
+version = "0.0.20"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -8271,23 +7859,6 @@ files = [
 [package.dependencies]
 cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
-[[package]]
-name = "rank-bm25"
-version = "0.2.2"
-description = "Various BM25 algorithms for document ranking"
-optional = false
-python-versions = "*"
-files = [
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-
-[package.dependencies]
-numpy = "*"
-
-[package.extras]
-dev = ["pytest"]
-
 [[package]]
 name = "rapid-table"
 version = "0.1.3"
@@ -8307,99 +7878,99 @@ PyYAML = ">=6.0"
 
 [[package]]
 name = "rapidfuzz"
-version = "3.10.1"
+version = "3.11.0"
 description = "rapid fuzzy string matching"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -8407,12 +7978,12 @@ all = ["numpy"]
 
 [[package]]
 name = "rapidocr-onnxruntime"
-version = "1.4.2"
+version = "1.4.3"
 description = "A cross platform OCR Library based on OnnxRuntime."
 optional = false
 python-versions = "<3.13,>=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -8428,12 +7999,12 @@ tqdm = "*"
 
 [[package]]
 name = "rapidocr-paddle"
-version = "1.4.2"
+version = "1.4.4"
 description = "A cross platform OCR Library based on PaddlePaddle."
 optional = false
 python-versions = "<3.13,>=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -8479,21 +8050,6 @@ async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\
 hiredis = ["hiredis (>=3.0.0)"]
 ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==23.2.1)", "requests (>=2.31.0)"]
 
-[[package]]
-name = "referencing"
-version = "0.35.1"
-description = "JSON Referencing + Python"
-optional = false
-python-versions = ">=3.8"
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-rpds-py = ">=0.7.0"
-
 [[package]]
 name = "regex"
 version = "2024.11.6"
@@ -8618,20 +8174,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
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-version = "2.1.0"
-description = "File transport adapter for Requests"
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-python-versions = "*"
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-
-[package.dependencies]
-requests = ">=1.0.0"
-
 [[package]]
 name = "requests-oauthlib"
 version = "2.0.0"
@@ -8650,6 +8192,24 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
+[[package]]
+name = "rich"
+version = "13.9.4"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.8.0"
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+
+[package.dependencies]
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+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "robust-downloader"
 version = "0.0.2"
@@ -8669,118 +8229,6 @@ tqdm = "*"
 [package.extras]
 dev = ["black", "pre-commit (>=3.3.3)", "pytest", "pytest-cov", "ruff"]
 
-[[package]]
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-version = "0.22.3"
-description = "Python bindings to Rust's persistent data structures (rpds)"
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-python-versions = ">=3.9"
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 [[package]]
 name = "seaborn"
@@ -9117,25 +8521,6 @@ dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest
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-
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 version = "2.10.0"
@@ -9242,33 +8627,23 @@ files = [
 
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-version = "75.6.0"
+version = "75.8.0"
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 [package.extras]
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 name = "shapely"
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 docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
 test = ["pytest", "pytest-cov"]
 
+[[package]]
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+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
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 ]
 
 [[package]]
@@ -9915,22 +9277,6 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
-[[package]]
-name = "text-generation"
-version = "0.7.0"
-description = "Hugging Face Text Generation Python Client"
-optional = false
-python-versions = "<4.0,>=3.7"
-files = [
-    {file = "text_generation-0.7.0-py3-none-any.whl", hash = "sha256:02ab337a0ee0e7c70e04a607b311c261caae74bde46a7d837c6fdd150108f4d8"},
-    {file = "text_generation-0.7.0.tar.gz", hash = "sha256:689200cd1f0d4141562af2515393c2c21cdbd9fac21c8398bf3043cdcc14184e"},
-]
-
-[package.dependencies]
-aiohttp = ">=3.8,<4.0"
-huggingface-hub = ">=0.12,<1.0"
-pydantic = ">2,<3"
-
 [[package]]
 name = "thop"
 version = "0.1.1.post2209072238"
@@ -9957,25 +9303,25 @@ files = [
 
 [[package]]
 name = "tifffile"
-version = "2024.9.20"
+version = "2025.1.10"
 description = "Read and write TIFF files"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "tifffile-2024.9.20-py3-none-any.whl", hash = "sha256:c54dc85bc1065d972cb8a6ffb3181389d597876aa80177933459733e4ed243dd"},
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 ]
 
 [package.dependencies]
 numpy = "*"
 
 [package.extras]
-all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
-codecs = ["imagecodecs (>=2023.8.12)"]
+all = ["defusedxml", "fsspec", "imagecodecs (>=2024.12.30)", "lxml", "matplotlib", "zarr (<3)"]
+codecs = ["imagecodecs (>=2024.12.30)"]
 plot = ["matplotlib"]
-test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "roifile", "xarray", "zarr"]
+test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "roifile", "xarray", "zarr (<3)"]
 xml = ["defusedxml", "lxml"]
-zarr = ["fsspec", "zarr"]
+zarr = ["fsspec", "zarr (<3)"]
 
 [[package]]
 name = "tiktoken"
@@ -10042,37 +9388,6 @@ safetensors = "*"
 torch = "*"
 torchvision = "*"
 
-[[package]]
-name = "tinysegmenter"
-version = "0.3"
-description = "Very compact Japanese tokenizer"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[[package]]
-name = "tldextract"
-version = "5.1.3"
-description = "Accurately separates a URL's subdomain, domain, and public suffix, using the Public Suffix List (PSL). By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well."
-optional = false
-python-versions = ">=3.9"
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-]
-
-[package.dependencies]
-filelock = ">=3.0.8"
-idna = "*"
-requests = ">=2.1.0"
-requests-file = ">=1.4"
-
-[package.extras]
-release = ["build", "twine"]
-testing = ["mypy", "pytest", "pytest-gitignore", "pytest-mock", "responses", "ruff", "syrupy", "tox", "tox-uv", "types-filelock", "types-requests"]
-
 [[package]]
 name = "tokenizers"
 version = "0.19.1"
@@ -10190,6 +9505,17 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
+[[package]]
+name = "tomlkit"
+version = "0.13.2"
+description = "Style preserving TOML library"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
+    {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
+]
+
 [[package]]
 name = "torch"
 version = "2.2.2"
@@ -10392,7 +9718,6 @@ files = [
 ]
 
 [package.dependencies]
-accelerate = {version = ">=0.21.0", optional = true, markers = "extra == \"torch\""}
 filelock = "*"
 huggingface-hub = ">=0.23.2,<1.0"
 numpy = ">=1.17,<2.0"
@@ -10402,7 +9727,6 @@ regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
 tokenizers = ">=0.19,<0.20"
-torch = {version = "*", optional = true, markers = "extra == \"torch\""}
 tqdm = ">=4.27"
 
 [package.extras]
@@ -10450,40 +9774,6 @@ torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata",
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
-[[package]]
-name = "trio"
-version = "0.27.0"
-description = "A friendly Python library for async concurrency and I/O"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "trio-0.27.0-py3-none-any.whl", hash = "sha256:68eabbcf8f457d925df62da780eff15ff5dc68fd6b367e2dde59f7aaf2a0b884"},
-    {file = "trio-0.27.0.tar.gz", hash = "sha256:1dcc95ab1726b2da054afea8fd761af74bad79bd52381b84eae408e983c76831"},
-]
-
-[package.dependencies]
-attrs = ">=23.2.0"
-cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
-idna = "*"
-outcome = "*"
-sniffio = ">=1.3.0"
-sortedcontainers = "*"
-
-[[package]]
-name = "trio-websocket"
-version = "0.11.1"
-description = "WebSocket library for Trio"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
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-]
-
-[package.dependencies]
-trio = ">=0.11"
-wsproto = ">=0.14"
-
 [[package]]
 name = "triton"
 version = "2.2.0"
@@ -10507,6 +9797,23 @@ build = ["cmake (>=3.20)", "lit"]
 tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
 tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
+[[package]]
+name = "typer"
+version = "0.15.1"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "typer-0.15.1-py3-none-any.whl", hash = "sha256:7994fb7b8155b64d3402518560648446072864beefd44aa2dc36972a5972e847"},
+    {file = "typer-0.15.1.tar.gz", hash = "sha256:a0588c0a7fa68a1978a069818657778f86abe6ff5ea6abf472f940a08bfe4f0a"},
+]
+
+[package.dependencies]
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
 [[package]]
 name = "typing"
 version = "3.7.4.3"
@@ -10644,13 +9951,13 @@ files = [
 
 [[package]]
 name = "ultralytics"
-version = "8.3.58"
+version = "8.3.61"
 description = "Ultralytics YOLO 🚀 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ultralytics-8.3.58-py3-none-any.whl", hash = "sha256:b6c87e845d6bfcc49c84bb2d7922af2f57fee637631bc6a2e95f409e5f867496"},
-    {file = "ultralytics-8.3.58.tar.gz", hash = "sha256:2d0ca4e5e7612365dc74c4c75e23ef0aecd677887dd7d272dbb77bd93e6ef087"},
+    {file = "ultralytics-8.3.61-py3-none-any.whl", hash = "sha256:8aea1ea85ca3b44c3cfd68f6b3d521964f963e3ccf5da91ffa28ed7216ef0141"},
+    {file = "ultralytics-8.3.61.tar.gz", hash = "sha256:6cbed15f2447ff93d37cafa61f1816ca5bf333bec8b73a2379ea8e87cdc5ccaf"},
 ]
 
 [package.dependencies]
@@ -10766,18 +10073,15 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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-
 [package.extras]
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+    {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc78a84e2dfbc27afe4b2bd7c80c8db9bca75cc5b85df52bfe634596a1da846b"},
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+    {file = "wrapt-1.17.2-cp39-cp39-win32.whl", hash = "sha256:f393cda562f79828f38a819f4788641ac7c4085f30f1ce1a68672baa686482bb"},
+    {file = "wrapt-1.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:36ccae62f64235cf8ddb682073a60519426fdd4725524ae38874adf72b5f2aeb"},
+    {file = "wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8"},
+    {file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"},
 ]
 
-[package.dependencies]
-h11 = ">=0.9.0,<1"
-
 [[package]]
 name = "xlrd"
 version = "2.0.1"
@@ -11477,4 +10780,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11.0,<3.12"
-content-hash = "1ece5b6523463aa5b71fb1d4c27e2b9540c490c36355444292ed5adc656cd335"
+content-hash = "ae2f34eeaf6201b0aa7e687a632ab22f09a4a2a727f3ace42ca06357a31a2ad9"
diff --git a/pyproject.toml b/pyproject.toml
index a1aba419..21622f43 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,21 +11,31 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.11.0,<3.12"
-fastapi = "^0.110.1"
+fastapi = "0.115.2"
 uvicorn = "^0.29.0"
-llama-index-core = "0.10.62"
-llama-index-embeddings-openai = "^0.1.7"
-llama-index-embeddings-azure-openai = "^0.1.7"
-llama-index-embeddings-dashscope = "^0.1.3"
-llama-index-llms-openai = "^0.1.27"
-llama-index-llms-azure-openai = "^0.1.6"
-llama-index-llms-dashscope = "^0.1.2"
-llama-index-readers-database = "^0.1.3"
-llama-index-vector-stores-faiss = "^0.1.2"
-llama-index-vector-stores-analyticdb = "^0.1.1"
-llama-index-vector-stores-elasticsearch = "^0.2.0"
-llama-index-vector-stores-milvus = "^0.1.10"
-gradio = "3.41.0"
+llama-index-core = "^0.12.2"
+llama-index-embeddings-openai = "^0.3.0"
+llama-index-embeddings-azure-openai = "^0.3.0"
+llama-index-embeddings-dashscope = "^0.3.0"
+llama-index-llms-openai = "^0.3.0"
+llama-index-llms-azure-openai = "^0.3.0"
+llama-index-llms-dashscope = "^0.3.0"
+llama-index-readers-database = "^0.3.0"
+llama-index-vector-stores-faiss = "^0.3.0"
+llama-index-vector-stores-analyticdb = "^0.3.0"
+llama-index-vector-stores-elasticsearch = "^0.4.0"
+llama-index-vector-stores-milvus = "^0.3.0"
+llama-index-vector-stores-alibabacloud-opensearch = "^0.3.0"
+llama-index-embeddings-huggingface = "^0.4.0"
+llama-index-readers-file = "^0.4.3"
+llama-index-postprocessor-flag-embedding-reranker = "^0.3.0"
+llama-index-storage-chat-store-redis = "^0.4.0"
+llama-index-tools-google = "^0.3.0"
+llama-index-tools-duckduckgo = "^0.3.0"
+llama-index-llms-paieas = "^0.3.0"
+llama-index-agent-openai = "^0.4.1"
+llama-index-multi-modal-llms-openai = "^0.4.2"
+gradio = "^5.12.0"
 faiss-cpu = "^1.8.0"
 hologres-vector = "^0.0.9"
 dynaconf = "^3.2.5"
@@ -33,10 +43,7 @@ docx2txt = "^0.8"
 click = "^8.1.7"
 pydantic = "^2.7.0"
 pytest = "^8.1.1"
-llama-index-retrievers-bm25 = "^0.1.3"
 jieba = "^0.42.1"
-llama-index-embeddings-huggingface = "^0.2.0"
-llama-index-postprocessor-flag-embedding-reranker = "^0.1.3"
 flagembedding = "^1.2.10"
 sentencepiece = "^0.2.0"
 oss2 = "^2.18.5"
@@ -50,10 +57,9 @@ torchvision = [
   {version = "0.18.0+cpu", source = "pytorch_cpu", markers = "sys_platform != 'darwin'"},
   {version = "0.17.2", markers = "sys_platform == 'darwin'"}
 ]
-transformers = "4.42.4"
+transformers = "^4.42.4"
 openpyxl = "^3.1.2"
 pdf2image = "^1.17.0"
-llama-index-storage-chat-store-redis = "^0.1.3"
 python-bidi = "0.4.2"
 easyocr = "^1.7.1"
 opencv-python = "^4.6.0.66"
@@ -62,10 +68,7 @@ pypdf2 = "^3.0.1"
 pdfplumber = "^0.11.0"
 pdfminer-six = "^20231228"
 openinference-semantic-conventions = "^0.1.9"
-llama-index-tools-google = "^0.1.5"
-llama-index-tools-duckduckgo = "^0.1.1"
 openinference-instrumentation = "^0.1.12"
-llama-index-llms-huggingface = "^0.2.0"
 pytest-asyncio = "^0.23.7"
 pytest-cov = "^5.0.0"
 xlrd = "^2.0.1"
@@ -74,41 +77,37 @@ chardet = "^5.2.0"
 locust = "^2.29.0"
 gunicorn = "^22.0.0"
 umap-learn = "^0.5.6"
-protobuf = "3.20.2"
+protobuf = "^3.20.2"
 modelscope = "^1.16.0"
-llama-index-multi-modal-llms-dashscope = "^0.1.2"
-llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0"
 asyncpg = "^0.29.0"
 pgvector = "^0.3.2"
 pre-commit = "^3.8.0"
 cn-clip = "^1.5.1"
-llama-index-llms-paieas = "^0.1.0"
 pymysql = "^1.1.1"
-llama-index-experimental = "^0.2.0"
-llama-index-readers-web = "^0.1.23"
 milvus-lite = "^2.4.9"
 rapidocr-onnxruntime = "^1.3.24"
 rapid-table = "^0.1.3"
 bs4 = "^0.0.2"
-httpx = "0.27.0"
+httpx = "^0.27.0"
 detectron2 = [
   {markers = "sys_platform == 'linux'", url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/packages/python_wheels/detectron2-0.6%2B864913fpt2.3.0cpu-cp311-cp311-linux_x86_64.whl"},
   {markers = "sys_platform == 'win32'", url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/packages/python_wheels/detectron2-0.6%2B864913fpt2.3.0cpu-cp311-cp311-win_amd64.whl"},
   {markers = "sys_platform != 'win32' and sys_platform != 'linux' ", url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/packages/python_wheels/detectron2-0.6%2B864913fpt2.2.2cpu-cp311-cp311-macosx_10_9_universal2.whl"}
 ]
-magic-pdf = {extras = ["full"], version = "^0.10.6"}
+magic-pdf = {version = "0.10.6", extras = ["full"]}
 peft = "^0.12.0"
-duckduckgo-search = "6.2.12"
-aliyun-bootstrap = "1.0.2"
+duckduckgo-search = "^6.2.12"
+aliyun-bootstrap = "^1.0.2"
 docx = "^0.2.4"
 python-pptx = "^1.0.2"
 aspose-slides = "^24.10.0"
-ultralytics = "^8.3.58"
+ultralytics = "^8.3.43"
 datasketch = "^1.6.5"
-primp = "0.9.1"
+primp = "^0.9.1"
 tablestore = "^6.1.0"
-anyio = "4.6.2.post1"
+anyio = "^4.6.2.post1"
 mistletoe = "^1.4.0"
+html2text = "^2024.2.26"
 
 [tool.poetry.scripts]
 pai_rag = "pai_rag.main:run"
diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml
index 01b501be..c7b8e12c 100644
--- a/pyproject_gpu.toml
+++ b/pyproject_gpu.toml
@@ -11,21 +11,30 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.11.0,<3.12"
-fastapi = "^0.110.1"
+fastapi = "0.115.2"
 uvicorn = "^0.29.0"
-llama-index-core = "0.10.62"
-llama-index-embeddings-openai = "^0.1.7"
-llama-index-embeddings-azure-openai = "^0.1.7"
-llama-index-embeddings-dashscope = "^0.1.3"
-llama-index-llms-openai = "^0.1.27"
-llama-index-llms-azure-openai = "^0.1.6"
-llama-index-llms-dashscope = "^0.1.2"
-llama-index-readers-database = "^0.1.3"
-llama-index-vector-stores-faiss = "^0.1.2"
-llama-index-vector-stores-analyticdb = "^0.1.1"
-llama-index-vector-stores-elasticsearch = "^0.2.0"
-llama-index-vector-stores-milvus = "^0.1.10"
-gradio = "3.41.0"
+llama-index-core = "^0.12.2"
+llama-index-embeddings-openai = "^0.3.0"
+llama-index-embeddings-azure-openai = "^0.3.0"
+llama-index-embeddings-dashscope = "^0.3.0"
+llama-index-llms-openai = "^0.3.0"
+llama-index-llms-azure-openai = "^0.3.0"
+llama-index-llms-dashscope = "^0.3.0"
+llama-index-readers-database = "^0.3.0"
+llama-index-vector-stores-faiss = "^0.3.0"
+llama-index-vector-stores-analyticdb = "^0.3.0"
+llama-index-vector-stores-elasticsearch = "^0.4.0"
+llama-index-vector-stores-milvus = "^0.3.0"
+llama-index-agent-openai = "^0.4.1"
+llama-index-embeddings-huggingface = "^0.4.0"
+llama-index-postprocessor-flag-embedding-reranker = "^0.3.0"
+llama-index-storage-chat-store-redis = "^0.4.0"
+llama-index-tools-google = "^0.3.0"
+llama-index-tools-duckduckgo = "^0.3.0"
+llama-index-multi-modal-llms-openai = "^0.4.2"
+llama-index-vector-stores-alibabacloud-opensearch = "^0.3.0"
+llama-index-llms-paieas = "^0.3.0"
+gradio = "^5.12.0"
 faiss-cpu = "^1.8.0"
 hologres-vector = "^0.0.9"
 dynaconf = "^3.2.5"
@@ -33,10 +42,7 @@ docx2txt = "^0.8"
 click = "^8.1.7"
 pydantic = "^2.7.0"
 pytest = "^8.1.1"
-llama-index-retrievers-bm25 = "^0.1.3"
 jieba = "^0.42.1"
-llama-index-embeddings-huggingface = "^0.2.0"
-llama-index-postprocessor-flag-embedding-reranker = "^0.1.3"
 flagembedding = "^1.2.10"
 sentencepiece = "^0.2.0"
 oss2 = "^2.18.5"
@@ -47,7 +53,6 @@ torchvision = "0.17.2"
 transformers = "4.42.4"
 openpyxl = "^3.1.2"
 pdf2image = "^1.17.0"
-llama-index-storage-chat-store-redis = "^0.1.3"
 python-bidi = "0.4.2"
 easyocr = "^1.7.1"
 opencv-python = "^4.6.0.66"
@@ -56,10 +61,7 @@ pypdf2 = "^3.0.1"
 pdfplumber = "^0.11.0"
 pdfminer-six = "^20231228"
 openinference-semantic-conventions = "^0.1.9"
-llama-index-tools-google = "^0.1.5"
-llama-index-tools-duckduckgo = "^0.1.1"
 openinference-instrumentation = "^0.1.12"
-llama-index-llms-huggingface = "^0.2.0"
 pytest-asyncio = "^0.23.7"
 pytest-cov = "^5.0.0"
 xlrd = "^2.0.1"
@@ -68,18 +70,13 @@ chardet = "^5.2.0"
 locust = "^2.29.0"
 gunicorn = "^22.0.0"
 umap-learn = "^0.5.6"
-protobuf = "3.20.2"
+protobuf = "^3.20.2"
 modelscope = "^1.16.0"
-llama-index-multi-modal-llms-dashscope = "^0.1.2"
-llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0"
 asyncpg = "^0.29.0"
 pgvector = "^0.3.2"
 pre-commit = "^3.8.0"
 cn-clip = "^1.5.1"
-llama-index-llms-paieas = "^0.1.0"
 pymysql = "^1.1.1"
-llama-index-experimental = "^0.2.0"
-llama-index-readers-web = "^0.1.23"
 milvus-lite = "^2.4.9"
 rapidocr-onnxruntime = "^1.3.24"
 rapid-table = "^0.1.3"
@@ -100,11 +97,12 @@ aliyun-bootstrap = "^1.0.2"
 docx = "^0.2.4"
 python-pptx = "^1.0.2"
 aspose-slides = "^24.10.0"
-ultralytics = "8.3.58"
+ultralytics = "^8.3.43"
 datasketch = "^1.6.5"
 tablestore = "^6.1.0"
+anyio = "^4.6.2.post1"
 mistletoe = "^1.4.0"
-anyio = "4.6.2.post1"
+html2text = "^2024.2.26"
 
 [tool.poetry.scripts]
 pai_rag = "pai_rag.main:run"
diff --git a/src/pai_rag/app/web/index_utils.py b/src/pai_rag/app/web/index_utils.py
index 72b3e251..f1c1ab44 100644
--- a/src/pai_rag/app/web/index_utils.py
+++ b/src/pai_rag/app/web/index_utils.py
@@ -180,7 +180,7 @@ def index_to_components_settings(
                 {"value": ""},
                 {"value": ""},
                 {"value": ""},
-                {"value": ""},
+                {"value": "cn-hangzhou"},
                 {"value": ""},
                 {"value": ""},
                 {"value": ""},
diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py
index c2b1e946..d31b10b7 100644
--- a/src/pai_rag/app/web/rag_client.py
+++ b/src/pai_rag/app/web/rag_client.py
@@ -208,6 +208,7 @@ def _format_rag_response(
             formatted_answer += f"**Reference**:\n {referenced_docs}"
 
         response["result"] = formatted_answer
+
         return response
 
     def check_health(self):
diff --git a/src/pai_rag/app/web/tabs/data_analysis_tab.py b/src/pai_rag/app/web/tabs/data_analysis_tab.py
index 4d06271c..7785ab58 100644
--- a/src/pai_rag/app/web/tabs/data_analysis_tab.py
+++ b/src/pai_rag/app/web/tabs/data_analysis_tab.py
@@ -57,7 +57,6 @@ def load_db_info_fn(input_elements: List[Any]):
         else:
             update_dict["enable_query_preprocessor"] = False
             update_dict["enable_db_preretriever"] = False
-        print("update_dict:", update_dict)
         rag_client.patch_config(update_dict)
     except RagApiError as api_error:
         raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}")
diff --git a/src/pai_rag/app/web/tabs/settings_tab.py b/src/pai_rag/app/web/tabs/settings_tab.py
index 2c796dbe..ca1400f8 100644
--- a/src/pai_rag/app/web/tabs/settings_tab.py
+++ b/src/pai_rag/app/web/tabs/settings_tab.py
@@ -261,7 +261,7 @@ def create_setting_tab() -> Dict[str, Any]:
                     oss_endpoint = gr.Textbox(
                         label="OSS Endpoint",
                         elem_id="oss_endpoint",
-                        default="oss-cn-hangzhou.aliyuncs.com",
+                        placeholder="oss-cn-hangzhou.aliyuncs.com",
                     )
                 use_oss.input(
                     fn=ev_listeners.change_use_oss,
diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py
index 178eb1e8..365efdf3 100644
--- a/src/pai_rag/app/web/tabs/upload_tab.py
+++ b/src/pai_rag/app/web/tabs/upload_tab.py
@@ -124,7 +124,7 @@ def upload_knowledge(
 
     result = {"Info": ["StartTime", "EndTime", "Duration(s)", "Status"]}
     error_msg = ""
-    while not all(file.finished is True for file in my_upload_files):
+    while True:
         for file in my_upload_files:
             try:
                 response = asyncio.run(
@@ -144,12 +144,16 @@ def upload_knowledge(
             gr.update(visible=True, value=pd.DataFrame(result)),
             gr.update(visible=False),
         ]
-        if not all(file.finished is True for file in my_upload_files):
-            time.sleep(2)
+
+        if all(file.finished is True for file in my_upload_files):
+            break
+
+        time.sleep(2)
 
     upload_result = "Upload success."
     if error_msg:
         upload_result = f"Upload failed: {error_msg}"
+
     yield [
         gr.update(visible=True, value=pd.DataFrame(result)),
         gr.update(
diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py
index 83053f42..655a8cff 100644
--- a/src/pai_rag/app/web/tabs/vector_db_panel.py
+++ b/src/pai_rag/app/web/tabs/vector_db_panel.py
@@ -47,6 +47,7 @@ def create_vector_db_panel() -> Dict[str, Any]:
                         "cn-shenzhen",
                         "cn-chengdu",
                     ],
+                    value="cn-hangzhou",
                     label="RegionId",
                     elem_id="adb_region_id",
                 )
diff --git a/src/pai_rag/app/web/ui_constants.py b/src/pai_rag/app/web/ui_constants.py
index 3ec73f4d..66b7c4cf 100644
--- a/src/pai_rag/app/web/ui_constants.py
+++ b/src/pai_rag/app/web/ui_constants.py
@@ -19,16 +19,27 @@
 #             """
 
 WELCOME_MESSAGE = """
-            # \N{fire} PAI-RAG Dashboard
-
-            #### \N{rocket} Join the DingTalk Q&A Group: 27370042974
-            """
+        <div class="title"> <span class="head"> \N{fire} PAI-RAG Dashboard</span><span class="subhead"> \N{rocket} Join the DingTalk Q&A Group: 27370042974</span> </div>
+    """
 
 DEFAULT_CSS_STYPE = """
-        h1, h3, h4 {
+        .title {
+            margin-block-start: 0.2em;
+            margin-block-end: 0.2em;
             text-align: center;
             display:block;
         }
+
+        .head {
+            font-size: 2em;
+            font-weight: bold;
+        }
+
+        .subhead {
+            margin: 1.5em;
+            font-size: 1em;
+            font-weight: bold;
+        }
         """
 
 DEFAULT_EMBED_SIZE = 1024
diff --git a/src/pai_rag/app/web/webui.py b/src/pai_rag/app/web/webui.py
index bc710c9c..f78afb05 100644
--- a/src/pai_rag/app/web/webui.py
+++ b/src/pai_rag/app/web/webui.py
@@ -1,4 +1,3 @@
-from urllib.parse import urljoin
 from fastapi import FastAPI
 import gradio as gr
 from pai_rag.app.web import event_listeners
@@ -135,13 +134,11 @@ def configure_webapp(app: FastAPI, web_url, rag_url=DEFAULT_LOCAL_URL) -> gr.Blo
     rag_client.set_endpoint(rag_url)
 
     chat_page = create_chat_ui()
-    chat_page.queue(concurrency_count=1, max_size=64)
-    chat_page._queue.set_url(urljoin(web_url, "chat/"))
+    chat_page.queue(api_open=True, max_size=64)
     gr.mount_gradio_app(app, chat_page, path="/chat")
 
     home = make_homepage()
-    home.queue(concurrency_count=1, max_size=64)
-    home._queue.set_url(urljoin(web_url, "/"))
+    chat_page.queue(api_open=True, max_size=64)
     logger.info(f"web_url: {web_url}")
     gr.mount_gradio_app(app, home, path="/")
     return
diff --git a/src/pai_rag/evaluation/metrics/response/correctness.py b/src/pai_rag/evaluation/metrics/response/correctness.py
index 423471df..b4470546 100644
--- a/src/pai_rag/evaluation/metrics/response/correctness.py
+++ b/src/pai_rag/evaluation/metrics/response/correctness.py
@@ -101,7 +101,6 @@ class Correctness(LlmMetric):
     Passing is defined as a score greater than or equal to the given threshold.
 
     Args:
-        service_context (Optional[ServiceContext]): Service context.
         eval_template (Optional[Union[BasePromptTemplate, str]]):
             Template for the evaluation prompt.
         score_threshold (float): Numerical threshold for passing the evaluation,
diff --git a/src/pai_rag/integrations/agent/pai/pai_agent.py b/src/pai_rag/integrations/agent/pai/pai_agent.py
index d81ce8f9..5d53ace0 100644
--- a/src/pai_rag/integrations/agent/pai/pai_agent.py
+++ b/src/pai_rag/integrations/agent/pai/pai_agent.py
@@ -7,7 +7,7 @@
     Type,
 )
 import json
-from llama_index.agent.openai.step import OpenAIAgentWorker
+from llama_index.agent.openai import OpenAIAgentWorker
 from llama_index.core.agent.runner.base import AgentRunner
 from llama_index.core.callbacks import CallbackManager
 from llama_index.core.base.llms.types import ChatMessage
diff --git a/src/pai_rag/integrations/chat_store/pai/pai_chat_store.py b/src/pai_rag/integrations/chat_store/pai/pai_chat_store.py
index 20f27d22..ff808d5f 100644
--- a/src/pai_rag/integrations/chat_store/pai/pai_chat_store.py
+++ b/src/pai_rag/integrations/chat_store/pai/pai_chat_store.py
@@ -60,8 +60,8 @@ class PaiChatStore(BaseChatStore):
     _chat_store: Any = PrivateAttr()
 
     def __init__(self, chat_store_config: BaseChatStoreConfig):
-        self._chat_store = create_chat_store(chat_store_config)
         super().__init__()
+        self._chat_store = create_chat_store(chat_store_config)
 
     @classmethod
     def class_name(cls) -> str:
diff --git a/src/pai_rag/integrations/data_analysis/data_analysis_synthesizer.py b/src/pai_rag/integrations/data_analysis/data_analysis_synthesizer.py
index 98bb8890..bd5b873f 100644
--- a/src/pai_rag/integrations/data_analysis/data_analysis_synthesizer.py
+++ b/src/pai_rag/integrations/data_analysis/data_analysis_synthesizer.py
@@ -4,12 +4,10 @@
 from llama_index.core.callbacks.base import CallbackManager
 from llama_index.core.indices.prompt_helper import PromptHelper
 from llama_index.core.prompts import BasePromptTemplate
-from llama_index.core.settings import Settings
 from llama_index.core.schema import NodeWithScore, QueryType, QueryBundle
 from llama_index.core.prompts.mixin import PromptDictType
 from llama_index.core.response_synthesizers.base import BaseSynthesizer
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType
+from llama_index.core.llms import LLM
 from llama_index.core.types import RESPONSE_TEXT_TYPE
 from llama_index.core.base.response.schema import (
     RESPONSE_TYPE,
@@ -44,31 +42,24 @@ async def empty_response_agenerator() -> AsyncGenerator[str, None]:
 class DataAnalysisSynthesizer(BaseSynthesizer):
     def __init__(
         self,
-        llm: Optional[LLMPredictorType] = None,
+        llm: Optional[LLM] = None,
         callback_manager: Optional[CallbackManager] = None,
         prompt_helper: Optional[PromptHelper] = None,
         response_synthesis_prompt: Optional[BasePromptTemplate] = None,
         streaming: bool = False,
-        # deprecated
-        service_context: Optional[ServiceContext] = None,
     ) -> None:
-        logger.info("DataAnalysisSynthesizer initialized")
-        if service_context is not None:
-            prompt_helper = service_context.prompt_helper
-
-        self._llm = llm or Settings.llm
-        self._response_synthesis_prompt = (
-            response_synthesis_prompt or DEFAULT_RESPONSE_SYNTHESIS_PROMPT
-        )
-
         super().__init__(
             llm=llm,
             callback_manager=callback_manager,
             prompt_helper=prompt_helper,
-            service_context=service_context,
             streaming=streaming,
         )
 
+        self._response_synthesis_prompt = (
+            response_synthesis_prompt or DEFAULT_RESPONSE_SYNTHESIS_PROMPT
+        )
+        logger.info("DataAnalysisSynthesizer initialized")
+
     def _get_prompts(self) -> PromptDictType:
         """Get prompts."""
         return {"response_synthesis_prompt": self._response_synthesis_prompt}
diff --git a/src/pai_rag/integrations/data_analysis/data_analysis_tool.py b/src/pai_rag/integrations/data_analysis/data_analysis_tool.py
index 554d7eaa..4b8b7381 100644
--- a/src/pai_rag/integrations/data_analysis/data_analysis_tool.py
+++ b/src/pai_rag/integrations/data_analysis/data_analysis_tool.py
@@ -203,6 +203,8 @@ def __init__(
         callback_manager: Optional[CallbackManager] = None,
     ) -> None:
         """Initialize params."""
+        super().__init__(callback_manager=callback_manager or Settings.callback_manager)
+
         self._llm = llm or Settings.llm
         self._sql_database = sql_database
         self._retriever = create_retriever(
@@ -216,7 +218,6 @@ def __init__(
             response_synthesis_prompt=PromptTemplate(analysis_config.synthesizer_prompt)
             or DEFAULT_RESPONSE_SYNTHESIS_PROMPT,
         )
-        super().__init__(callback_manager=callback_manager)
 
     def _get_prompt_modules(self) -> PromptMixinType:
         """Get prompt sub-modules."""
diff --git a/src/pai_rag/integrations/data_analysis/nl2pandas_retriever.py b/src/pai_rag/integrations/data_analysis/nl2pandas_retriever.py
index 8c5f0ced..0b3d1814 100644
--- a/src/pai_rag/integrations/data_analysis/nl2pandas_retriever.py
+++ b/src/pai_rag/integrations/data_analysis/nl2pandas_retriever.py
@@ -10,12 +10,11 @@
 from llama_index.core.schema import NodeWithScore, QueryBundle, QueryType, TextNode
 from llama_index.core.settings import Settings
 from llama_index.core.callbacks.base import CallbackManager
-from llama_index.experimental.query_engine.pandas.output_parser import (
-    PandasInstructionParser,
-)
 
 from pai_rag.integrations.data_analysis.data_analysis_config import PandasAnalysisConfig
-
+from pai_rag.integrations.data_analysis.pandas_instruction_parser import (
+    PandasInstructionParser,
+)
 
 DEFAULT_INSTRUCTION_STR = (
     "1. Convert the query to executable Python code using Pandas.\n"
@@ -113,6 +112,7 @@ def __init__(
         **kwargs: Any,
     ) -> None:
         """Initialize params."""
+        super().__init__(callback_manager or Settings.callback_manager)
 
         self._df = df
         self._head = head
@@ -123,8 +123,6 @@ def __init__(
         )
         self._llm = llm or Settings.llm
 
-        super().__init__(callback_manager)
-
     @classmethod
     def from_config(
         cls,
diff --git a/src/pai_rag/integrations/data_analysis/nl2sql/db_descriptor.py b/src/pai_rag/integrations/data_analysis/nl2sql/db_descriptor.py
index c305b676..2d803aee 100644
--- a/src/pai_rag/integrations/data_analysis/nl2sql/db_descriptor.py
+++ b/src/pai_rag/integrations/data_analysis/nl2sql/db_descriptor.py
@@ -12,7 +12,6 @@
 from llama_index.core.objects.base import ObjectRetriever
 from llama_index.core.objects.table_node_mapping import SQLTableSchema
 from llama_index.core.schema import QueryBundle
-from llama_index.core.service_context import ServiceContext
 from llama_index.core import Settings
 from llama_index.core.utilities.sql_wrapper import SQLDatabase
 from llama_index.core import BasePromptTemplate
@@ -48,7 +47,6 @@ def __init__(
         context_str_prefix: Optional[str] = None,
         llm: Optional[LLM] = None,
         embed_model: Optional[BaseEmbedding] = None,
-        service_context: Optional[ServiceContext] = None,
         db_summary_prompt: Optional[BasePromptTemplate] = None,
         db_description_file_path: Optional[str] = None,
     ) -> None:
diff --git a/src/pai_rag/integrations/data_analysis/nl2sql_retriever.py b/src/pai_rag/integrations/data_analysis/nl2sql_retriever.py
index b3e30118..9aad0528 100644
--- a/src/pai_rag/integrations/data_analysis/nl2sql_retriever.py
+++ b/src/pai_rag/integrations/data_analysis/nl2sql_retriever.py
@@ -33,12 +33,7 @@
     PromptMixinType,
 )
 from llama_index.core.schema import NodeWithScore, QueryBundle, QueryType, TextNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import (
-    Settings,
-    embed_model_from_settings_or_context,
-    llm_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
 from sqlalchemy import Table
 
 from pai_rag.integrations.data_analysis.data_analysis_config import (
@@ -94,10 +89,11 @@ def __init__(
         callback_manager: Optional[CallbackManager] = None,
         **kwargs: Any,
     ) -> None:
+        super().__init__(callback_manager or Settings.callback_manager)
+
         """Initialize params."""
         self._sql_database = sql_database
         self._return_raw = return_raw
-        super().__init__(callback_manager)
 
     def _format_node_results(
         self, results: List[List[Any]], col_keys: List[str]
@@ -337,7 +333,6 @@ class MyNLSQLRetriever(PromptMixin):
         table_retriever (ObjectRetriever[SQLTableSchema]): Object retriever for
             SQLTableSchema objects. Defaults to None.
         context_str_prefix (str): Prefix for context string. Defaults to None.
-        service_context (ServiceContext): Service context. Defaults to None.
         return_raw (bool): Whether to return plain-text dump of SQL results, or parsed into Nodes.
         handle_sql_errors (bool): Whether to handle SQL errors. Defaults to True.
         sql_only (bool) : Whether to get only sql and not the sql query result.
@@ -358,7 +353,6 @@ def __init__(
         sql_parser_mode: SQLParserMode = SQLParserMode.DEFAULT,
         llm: Optional[LLM] = None,
         embed_model: Optional[BaseEmbedding] = None,
-        service_context: Optional[ServiceContext] = None,
         return_raw: bool = True,
         handle_sql_errors: bool = True,
         sql_only: bool = False,
@@ -366,6 +360,8 @@ def __init__(
         verbose: bool = False,
         **kwargs: Any,
     ) -> None:
+        super().__init__()
+
         """Initialize params."""
         self._sql_retriever = MySQLRetriever(sql_database, return_raw=return_raw)
         self._sql_database = sql_database
@@ -375,20 +371,18 @@ def __init__(
         self._tables = tables
         self._dialect = dialect
         self._context_str_prefix = context_str_prefix
-        self._llm = llm or llm_from_settings_or_context(Settings, service_context)
+        self._llm = llm or Settings.llm
         self._text_to_sql_prompt = text_to_sql_prompt or DEFAULT_TEXT_TO_SQL_TMPL
         self._sql_parser_mode = sql_parser_mode
 
-        embed_model = embed_model or embed_model_from_settings_or_context(
-            Settings, service_context
-        )
+        embed_model = embed_model or Settings.embed_model
         self._sql_parser = self._load_sql_parser(sql_parser_mode, embed_model)
         self._handle_sql_errors = handle_sql_errors
         self._sql_only = sql_only
         self._verbose = verbose
         # super().__init__(
         #     callback_manager=callback_manager
-        #     or callback_manager_from_settings_or_context(Settings, service_context)
+        #     or Settings.callback_manager
         # )
 
     @classmethod
diff --git a/src/pai_rag/integrations/data_analysis/pandas_instruction_parser.py b/src/pai_rag/integrations/data_analysis/pandas_instruction_parser.py
new file mode 100644
index 00000000..000cef4c
--- /dev/null
+++ b/src/pai_rag/integrations/data_analysis/pandas_instruction_parser.py
@@ -0,0 +1,273 @@
+"""Pandas output parser."""
+
+import logging
+import ast
+import copy
+from types import CodeType, ModuleType
+from typing import Any, Dict, Optional, Mapping, Sequence, Union
+import numpy as np
+import pandas as pd
+from llama_index.core.output_parsers.base import ChainableOutputParser
+from llama_index.core.output_parsers.utils import parse_code_markdown
+
+logger = logging.getLogger(__name__)
+
+
+ALLOWED_IMPORTS = {
+    "math",
+    "time",
+    "datetime",
+    "pandas",
+    "scipy",
+    "numpy",
+    "matplotlib",
+    "plotly",
+    "seaborn",
+}
+
+
+def _restricted_import(
+    name: str,
+    globals: Union[Mapping[str, object], None] = None,
+    locals: Union[Mapping[str, object], None] = None,
+    fromlist: Sequence[str] = (),
+    level: int = 0,
+) -> ModuleType:
+    if name in ALLOWED_IMPORTS:
+        return __import__(name, globals, locals, fromlist, level)
+    raise ImportError(f"Import of module '{name}' is not allowed")
+
+
+ALLOWED_BUILTINS = {
+    "abs": abs,
+    "all": all,
+    "any": any,
+    "ascii": ascii,
+    "bin": bin,
+    "bool": bool,
+    "bytearray": bytearray,
+    "bytes": bytes,
+    "chr": chr,
+    "complex": complex,
+    "divmod": divmod,
+    "enumerate": enumerate,
+    "filter": filter,
+    "float": float,
+    "format": format,
+    "frozenset": frozenset,
+    "hash": hash,
+    "hex": hex,
+    "int": int,
+    "isinstance": isinstance,
+    "issubclass": issubclass,
+    "len": len,
+    "list": list,
+    "map": map,
+    "max": max,
+    "min": min,
+    "oct": oct,
+    "ord": ord,
+    "pow": pow,
+    "print": print,
+    "range": range,
+    "repr": repr,
+    "reversed": reversed,
+    "round": round,
+    "set": set,
+    "slice": slice,
+    "sorted": sorted,
+    "str": str,
+    "sum": sum,
+    "tuple": tuple,
+    "type": type,
+    "zip": zip,
+    # Constants
+    "True": True,
+    "False": False,
+    "None": None,
+    "__import__": _restricted_import,
+}
+
+
+def _get_restricted_globals(__globals: Union[dict, None]) -> Any:
+    restricted_globals = copy.deepcopy(ALLOWED_BUILTINS)
+    if __globals:
+        restricted_globals.update(__globals)
+    return restricted_globals
+
+
+vulnerable_code_snippets = [
+    "os.",
+]
+
+
+class DunderVisitor(ast.NodeVisitor):
+    def __init__(self) -> None:
+        self.has_access_to_private_entity = False
+        self.has_access_to_disallowed_builtin = False
+
+        builtins = globals()["__builtins__"].keys()
+        self._builtins = builtins
+
+    def visit_Name(self, node: ast.Name) -> None:
+        if node.id.startswith("_"):
+            self.has_access_to_private_entity = True
+        if node.id not in ALLOWED_BUILTINS and node.id in self._builtins:
+            self.has_access_to_disallowed_builtin = True
+        self.generic_visit(node)
+
+    def visit_Attribute(self, node: ast.Attribute) -> None:
+        if node.attr.startswith("_"):
+            self.has_access_to_private_entity = True
+        if node.attr not in ALLOWED_BUILTINS and node.attr in self._builtins:
+            self.has_access_to_disallowed_builtin = True
+        self.generic_visit(node)
+
+
+def _contains_protected_access(code: str) -> bool:
+    # do not allow imports
+    imports_modules = False
+    tree = ast.parse(code)
+    for node in ast.iter_child_nodes(tree):
+        if isinstance(node, ast.Import):
+            imports_modules = True
+        elif isinstance(node, ast.ImportFrom):
+            imports_modules = True
+        else:
+            continue
+
+    dunder_visitor = DunderVisitor()
+    dunder_visitor.visit(tree)
+
+    for vulnerable_code_snippet in vulnerable_code_snippets:
+        if vulnerable_code_snippet in code:
+            dunder_visitor.has_access_to_disallowed_builtin = True
+
+    return (
+        dunder_visitor.has_access_to_private_entity
+        or dunder_visitor.has_access_to_disallowed_builtin
+        or imports_modules
+    )
+
+
+def _verify_source_safety(__source: Union[str, bytes, CodeType]) -> None:
+    """
+    Verify that the source is safe to execute. For now, this means that it
+    does not contain any references to private or dunder methods.
+    """
+    if isinstance(__source, CodeType):
+        raise RuntimeError("Direct execution of CodeType is forbidden!")
+    if isinstance(__source, bytes):
+        __source = __source.decode()
+    if _contains_protected_access(__source):
+        raise RuntimeError(
+            "Execution of code containing references to private or dunder methods, "
+            "disallowed builtins, or any imports, is forbidden!"
+        )
+
+
+def safe_eval(
+    __source: Union[str, bytes, CodeType],
+    __globals: Union[Dict[str, Any], None] = None,
+    __locals: Union[Mapping[str, object], None] = None,
+) -> Any:
+    """
+    eval within safe global context.
+    """
+    _verify_source_safety(__source)
+    return eval(__source, _get_restricted_globals(__globals), __locals)
+
+
+def safe_exec(
+    __source: Union[str, bytes, CodeType],
+    __globals: Union[Dict[str, Any], None] = None,
+    __locals: Union[Mapping[str, object], None] = None,
+) -> None:
+    """
+    eval within safe global context.
+    """
+    _verify_source_safety(__source)
+    return exec(__source, _get_restricted_globals(__globals), __locals)
+
+
+def default_output_processor(
+    output: str, df: pd.DataFrame, **output_kwargs: Any
+) -> str:
+    """Process outputs in a default manner."""
+    import ast
+    import sys
+    import traceback
+
+    if sys.version_info < (3, 9):
+        logger.warning(
+            "Python version must be >= 3.9 in order to use "
+            "the default output processor, which executes "
+            "the Python query. Instead, we will return the "
+            "raw Python instructions as a string."
+        )
+        return output
+
+    local_vars = {"df": df, "pd": pd}
+    global_vars = {"np": np}
+
+    output = parse_code_markdown(output, only_last=True)[0]
+
+    # NOTE: inspired from langchain's tool
+    # see langchain.tools.python.tool (PythonAstREPLTool)
+    try:
+        tree = ast.parse(output)
+        module = ast.Module(tree.body[:-1], type_ignores=[])
+        safe_exec(ast.unparse(module), {}, local_vars)  # type: ignore
+        module_end = ast.Module(tree.body[-1:], type_ignores=[])
+        module_end_str = ast.unparse(module_end)  # type: ignore
+        if module_end_str.strip("'\"") != module_end_str:
+            # if there's leading/trailing quotes, then we need to eval
+            # string to get the actual expression
+            module_end_str = safe_eval(module_end_str, global_vars, local_vars)
+        try:
+            # str(pd.dataframe) will truncate output by display.max_colwidth
+            # set width temporarily to extract more text
+            current_max_colwidth = pd.get_option("display.max_colwidth")
+            current_max_rows = pd.get_option("display.max_rows")
+            current_max_columns = pd.get_option("display.max_columns")
+            if "max_colwidth" in output_kwargs:
+                pd.set_option("display.max_colwidth", output_kwargs["max_colwidth"])
+            if "max_rows" in output_kwargs:
+                pd.set_option("display.max_rows", output_kwargs["max_rows"])
+            if "max_columns" in output_kwargs:
+                pd.set_option("display.max_columns", output_kwargs["max_columns"])
+            output_str = str(safe_eval(module_end_str, global_vars, local_vars))
+            pd.set_option("display.max_colwidth", current_max_colwidth)
+            pd.set_option("display.max_rows", current_max_rows)
+            pd.set_option("display.max_columns", current_max_columns)
+            return output_str
+
+        except Exception:
+            raise
+    except Exception as e:
+        err_string = (
+            "There was an error running the output as Python code. "
+            f"Error message: {e}"
+        )
+        traceback.print_exc()
+        return err_string
+
+
+class PandasInstructionParser(ChainableOutputParser):
+    """Pandas instruction parser.
+
+    This 'output parser' takes in pandas instructions (in Python code) and
+    executes them to return an output.
+
+    """
+
+    def __init__(
+        self, df: pd.DataFrame, output_kwargs: Optional[Dict[str, Any]] = None
+    ) -> None:
+        """Initialize params."""
+        self.df = df
+        self.output_kwargs = output_kwargs or {}
+
+    def parse(self, output: str) -> Any:
+        """Parse, validate, and correct errors programmatically."""
+        return default_output_processor(output, self.df, **self.output_kwargs)
diff --git a/src/pai_rag/integrations/embeddings/pai/pai_embedding.py b/src/pai_rag/integrations/embeddings/pai/pai_embedding.py
index 5cfb3b74..dc64c0e6 100644
--- a/src/pai_rag/integrations/embeddings/pai/pai_embedding.py
+++ b/src/pai_rag/integrations/embeddings/pai/pai_embedding.py
@@ -1,7 +1,6 @@
 from typing import Any, Callable, List, Optional
 from llama_index.core.base.embeddings.base import BaseEmbedding, Embedding
-from llama_index.core.constants import DEFAULT_EMBED_BATCH_SIZE
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import PrivateAttr
 from llama_index.core.schema import BaseNode, MetadataMode, ImageNode
 
 from loguru import logger
@@ -15,7 +14,6 @@
 class PaiEmbedding(BaseEmbedding):
     """PAI embedding model"""
 
-    _embed_batch_size: int = Field(default=DEFAULT_EMBED_BATCH_SIZE, gt=0)
     _embed_model: Any = PrivateAttr()
     _config: Any = PrivateAttr()
 
@@ -23,14 +21,15 @@ def __init__(
         self,
         embed_config: PaiBaseEmbeddingConfig,
     ):
-        self._config = embed_config
-        self._embed_model = create_embedding(embed_config)
-
+        embed_model = create_embedding(embed_config)
         super().__init__(
-            model_name=self._embed_model.model_name,
-            embed_batch_size=self._embed_model.embed_batch_size,
-            callback_manager=self._embed_model.callback_manager,
+            model_name=embed_model.model_name,
+            embed_batch_size=embed_model.embed_batch_size,
+            callback_manager=embed_model.callback_manager,
         )
+        self._config = embed_config
+        self._embed_model = embed_model
+
         logger.info(
             f"""
                 PaiEmbedding created with config:
diff --git a/src/pai_rag/integrations/embeddings/pai/pai_multimodal_embedding.py b/src/pai_rag/integrations/embeddings/pai/pai_multimodal_embedding.py
index 2cc36bf0..43bc284b 100644
--- a/src/pai_rag/integrations/embeddings/pai/pai_multimodal_embedding.py
+++ b/src/pai_rag/integrations/embeddings/pai/pai_multimodal_embedding.py
@@ -2,8 +2,7 @@
 from typing import Any, Callable, List, Optional
 from llama_index.core.embeddings import MultiModalEmbedding
 from llama_index.core.base.embeddings.base import Embedding
-from llama_index.core.constants import DEFAULT_EMBED_BATCH_SIZE
-from llama_index.core.bridge.pydantic import Field, PrivateAttr
+from llama_index.core.bridge.pydantic import PrivateAttr
 from llama_index.core.schema import ImageType, BaseNode, ImageNode
 from loguru import logger
 from pai_rag.integrations.embeddings.pai.pai_embedding_config import (
@@ -15,7 +14,6 @@
 class PaiMultiModalEmbedding(MultiModalEmbedding):
     """PAI multimodal embedding model"""
 
-    _embed_batch_size: int = Field(default=DEFAULT_EMBED_BATCH_SIZE, gt=0)
     _embed_model: Any = PrivateAttr()
     _config: Any = PrivateAttr()
 
@@ -23,14 +21,15 @@ def __init__(
         self,
         multimodal_embed_config: PaiBaseEmbeddingConfig,
     ):
-        self._config = multimodal_embed_config
-        self._embed_model = create_embedding(multimodal_embed_config)
+        embed_model = create_embedding(multimodal_embed_config)
 
         super().__init__(
-            model_name=self._embed_model.model_name,
-            embed_batch_size=self._embed_model.embed_batch_size,
-            callback_manager=self._embed_model.callback_manager,
+            model_name=embed_model.model_name,
+            embed_batch_size=embed_model.embed_batch_size,
+            callback_manager=embed_model.callback_manager,
         )
+        self._config = multimodal_embed_config
+        self._embed_model = embed_model
         logger.info(
             f"""
                 PaiMultiModalEmbedding Module created with config:
diff --git a/src/pai_rag/integrations/index/pai/local/local_bm25_retriever.py b/src/pai_rag/integrations/index/pai/local/local_bm25_retriever.py
index 7f936a14..0f65fa33 100644
--- a/src/pai_rag/integrations/index/pai/local/local_bm25_retriever.py
+++ b/src/pai_rag/integrations/index/pai/local/local_bm25_retriever.py
@@ -17,8 +17,6 @@ def __init__(
         object_map: Optional[dict] = None,
         verbose: bool = False,
     ) -> None:
-        self._similarity_top_k = similarity_top_k
-        self.bm25_index = bm25_index
         super().__init__(
             callback_manager=callback_manager,
             object_map=object_map,
@@ -26,6 +24,9 @@ def __init__(
             verbose=verbose,
         )
 
+        self._similarity_top_k = similarity_top_k
+        self.bm25_index = bm25_index
+
     @classmethod
     def from_defaults(
         cls,
diff --git a/src/pai_rag/integrations/index/pai/multimodal/multimodal_index.py b/src/pai_rag/integrations/index/pai/multimodal/multimodal_index.py
index 0c9c2856..3e8e128d 100644
--- a/src/pai_rag/integrations/index/pai/multimodal/multimodal_index.py
+++ b/src/pai_rag/integrations/index/pai/multimodal/multimodal_index.py
@@ -25,8 +25,7 @@
 from llama_index.core.multi_modal_llms import MultiModalLLM
 from llama_index.core.query_engine.multi_modal import SimpleMultiModalQueryEngine
 from llama_index.core.schema import BaseNode, ImageNode
-from llama_index.core.service_context import ServiceContext
-from llama_index.core.settings import Settings, llm_from_settings_or_context
+from llama_index.core.settings import Settings
 from llama_index.core.storage.storage_context import StorageContext
 from llama_index.core.vector_stores.simple import (
     DEFAULT_VECTOR_STORE,
@@ -67,11 +66,22 @@ def __init__(
         # keep image_vector_store here for backward compatibility
         image_vector_store: Optional[BasePydanticVectorStore] = None,
         image_embed_model: EmbedType = "clip:ViT-B/32",
-        # deprecated
-        service_context: Optional[ServiceContext] = None,
         **kwargs: Any,
     ) -> None:
         """Initialize params."""
+        storage_context = storage_context or StorageContext.from_defaults()
+
+        super().__init__(
+            nodes=nodes,
+            index_struct=index_struct,
+            embed_model=embed_model,
+            storage_context=storage_context,
+            show_progress=show_progress,
+            use_async=use_async,
+            store_nodes_override=store_nodes_override,
+            **kwargs,
+        )
+
         self._enable_multimodal = enable_multimodal
         if self._enable_multimodal:
             image_embed_model = resolve_embed_model(
@@ -99,20 +109,6 @@ def __init__(
                 self.image_namespace
             ]
 
-        storage_context = storage_context or StorageContext.from_defaults()
-
-        super().__init__(
-            nodes=nodes,
-            index_struct=index_struct,
-            embed_model=embed_model,
-            service_context=service_context,
-            storage_context=storage_context,
-            show_progress=show_progress,
-            use_async=use_async,
-            store_nodes_override=store_nodes_override,
-            **kwargs,
-        )
-
     @property
     def image_vector_store(self) -> BasePydanticVectorStore:
         return self._image_vector_store
@@ -136,7 +132,7 @@ def as_query_engine(
     ) -> SimpleMultiModalQueryEngine:
         retriever = cast(PaiMultiModalVectorIndexRetriever, self.as_retriever(**kwargs))
 
-        llm = llm or llm_from_settings_or_context(Settings, self._service_context)
+        llm = llm or Settings.llm
         assert isinstance(llm, MultiModalLLM)
 
         return SimpleMultiModalQueryEngine(
@@ -151,7 +147,6 @@ def from_vector_store(
         vector_store: BasePydanticVectorStore,
         embed_model: Optional[EmbedType] = None,
         # deprecated
-        service_context: Optional[ServiceContext] = None,
         # Image-related kwargs
         image_vector_store: Optional[BasePydanticVectorStore] = None,
         image_embed_model: EmbedType = "clip",
@@ -168,7 +163,6 @@ def from_vector_store(
 
         return cls(
             nodes=[],
-            service_context=service_context,
             storage_context=storage_context,
             image_embed_model=image_embed_model,
             embed_model=(
diff --git a/src/pai_rag/integrations/index/pai/multimodal/multimodal_retriever.py b/src/pai_rag/integrations/index/pai/multimodal/multimodal_retriever.py
index a0944509..6a9b4c37 100644
--- a/src/pai_rag/integrations/index/pai/multimodal/multimodal_retriever.py
+++ b/src/pai_rag/integrations/index/pai/multimodal/multimodal_retriever.py
@@ -23,10 +23,7 @@
     QueryType,
     ImageNode,
 )
-from llama_index.core.settings import (
-    Settings,
-    callback_manager_from_settings_or_context,
-)
+from llama_index.core.settings import Settings
 from llama_index.core.vector_stores.types import (
     MetadataFilters,
     BasePydanticVectorStore,
@@ -79,6 +76,8 @@ def __init__(
         callback_manager: Optional[CallbackManager] = None,
         **kwargs: Any,
     ) -> None:
+        super().__init__(callback_manager=callback_manager or Settings.callback_manager)
+
         """Initialize params."""
         self._index = index
         self._vector_store = self._index.vector_store
@@ -94,7 +93,6 @@ def __init__(
             self._image_embed_model = index._image_embed_model
         self._embed_model = index._embed_model
 
-        self._service_context = self._index.service_context
         self._docstore = self._index.docstore
 
         self._similarity_top_k = similarity_top_k
@@ -120,12 +118,6 @@ def __init__(
             ]
 
         self._kwargs: Dict[str, Any] = kwargs.get("vector_store_kwargs", {})
-        self.callback_manager = (
-            callback_manager
-            or callback_manager_from_settings_or_context(
-                Settings, self._service_context
-            )
-        )
 
     @property
     def similarity_top_k(self) -> int:
diff --git a/src/pai_rag/integrations/index/pai/vector_store_config.py b/src/pai_rag/integrations/index/pai/vector_store_config.py
index 0219817f..36622394 100644
--- a/src/pai_rag/integrations/index/pai/vector_store_config.py
+++ b/src/pai_rag/integrations/index/pai/vector_store_config.py
@@ -50,7 +50,7 @@ class AnalyticDBVectorStoreConfig(BaseVectorStoreConfig):
     ] = SupportedVectorStoreType.analyticdb
     ak: str
     sk: str
-    region_id: str
+    region_id: str = "cn-hangzhou"
     instance_id: str
     account: str
     account_password: str
diff --git a/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py b/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py
index 52ff376c..0e3c5c5f 100644
--- a/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py
+++ b/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py
@@ -41,17 +41,18 @@ def __init__(
                 "Cannot import FlagReranker package, please install it: ",
                 "pip install git+https://github.com/FlagOpen/FlagEmbedding.git",
             )
-        self._model = FlagReranker(
-            model,
-            use_fp16=use_fp16,
-        )
-        callback_manager = callback_manager or Settings.callback_manager
+
         super().__init__(
             top_n=top_n,
             model=model,
             similarity_threshold=similarity_threshold,
             use_fp16=use_fp16,
-            callback_manager=callback_manager,
+            callback_manager=callback_manager or Settings.callback_manager,
+        )
+
+        self._model = FlagReranker(
+            model,
+            use_fp16=use_fp16,
         )
 
     @classmethod
diff --git a/src/pai_rag/integrations/postprocessor/pai/pai_postprocessor.py b/src/pai_rag/integrations/postprocessor/pai/pai_postprocessor.py
index 0f40abbf..7b0fd4ef 100644
--- a/src/pai_rag/integrations/postprocessor/pai/pai_postprocessor.py
+++ b/src/pai_rag/integrations/postprocessor/pai/pai_postprocessor.py
@@ -80,8 +80,8 @@ def __init__(
         self,
         postprocessor_config: BasePostProcessorConfig,
     ):
-        self._postprocessors = create_postprocessors(postprocessor_config)
         super().__init__()
+        self._postprocessors = create_postprocessors(postprocessor_config)
 
     @classmethod
     def class_name(cls) -> str:
diff --git a/src/pai_rag/integrations/query_engine/pai_retriever_query_engine.py b/src/pai_rag/integrations/query_engine/pai_retriever_query_engine.py
index 8c18d7d9..63b2df07 100644
--- a/src/pai_rag/integrations/query_engine/pai_retriever_query_engine.py
+++ b/src/pai_rag/integrations/query_engine/pai_retriever_query_engine.py
@@ -42,8 +42,6 @@ def __init__(
         transform_metadata: Optional[dict] = None,
         callback_manager: Optional[CallbackManager] = None,
     ) -> None:
-        self._query_transform = query_transform
-        self._transform_metadata = transform_metadata
         super().__init__(
             retriever=retriever,
             response_synthesizer=response_synthesizer,
@@ -51,6 +49,9 @@ def __init__(
             callback_manager=callback_manager,
         )
 
+        self._query_transform = query_transform
+        self._transform_metadata = transform_metadata
+
     def retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
         if self._query_transform:
             query_bundle = self._query_transform.run(
diff --git a/src/pai_rag/integrations/search/bs4_reader.py b/src/pai_rag/integrations/search/bs4_reader.py
index 0ef839f9..da45e6ff 100644
--- a/src/pai_rag/integrations/search/bs4_reader.py
+++ b/src/pai_rag/integrations/search/bs4_reader.py
@@ -174,8 +174,8 @@ class ParallelBeautifulSoupWebReader(BasePydanticReader):
     _website_extractor: Dict[str, Callable] = PrivateAttr()
 
     def __init__(self, website_extractor: Optional[Dict[str, Callable]] = None) -> None:
-        self._website_extractor = website_extractor or DEFAULT_WEBSITE_EXTRACTOR
         super().__init__()
+        self._website_extractor = website_extractor or DEFAULT_WEBSITE_EXTRACTOR
 
     @classmethod
     def class_name(cls) -> str:
diff --git a/src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py b/src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py
index 8c378dc2..4cfe785f 100644
--- a/src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py
+++ b/src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py
@@ -221,8 +221,6 @@ def __init__(
     ) -> None:
         nest_asyncio.apply()
 
-        self._local_storage = threading.local()
-
         if retrieval_strategy is None:
             retrieval_strategy = AsyncDenseVectorStrategy(
                 distance=DistanceMetric[distance_strategy]
@@ -243,6 +241,9 @@ def __init__(
             distance_strategy=distance_strategy,
             retrieval_strategy=retrieval_strategy,
         )
+
+        self._local_storage = threading.local()
+
         asyncio.get_event_loop().run_until_complete(
             self._get_store()._create_index_if_not_exists()
         )
diff --git a/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py b/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py
index f8b13f65..14355264 100644
--- a/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py
+++ b/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py
@@ -2,6 +2,7 @@
 import re
 from typing import Any, List, NamedTuple, Optional, Type, Union
 from urllib.parse import quote_plus
+from sqlalchemy.sql.selectable import Select
 
 import asyncpg  # noqa
 import pgvector  # noqa
@@ -144,10 +145,8 @@ class PGVectorStore(BasePydanticVectorStore):
         ```
     """
 
-    from sqlalchemy.sql.selectable import Select
-
-    stores_text = True
-    flat_metadata = False
+    stores_text: bool = True
+    flat_metadata: bool = False
 
     connection_string: str
     async_connection_string: Union[str, sqlalchemy.engine.URL]
@@ -194,6 +193,20 @@ def __init__(
                 "a text search configuration specification."
             )
 
+        super().__init__(
+            connection_string=connection_string,
+            async_connection_string=async_connection_string,
+            table_name=table_name,
+            schema_name=schema_name,
+            hybrid_search=hybrid_search,
+            text_search_config=text_search_config,
+            embed_dim=embed_dim,
+            cache_ok=cache_ok,
+            perform_setup=perform_setup,
+            debug=debug,
+            use_jsonb=use_jsonb,
+        )
+
         from sqlalchemy.orm import declarative_base
 
         # sqlalchemy model
@@ -209,20 +222,6 @@ def __init__(
             use_jsonb=use_jsonb,
         )
 
-        super().__init__(
-            connection_string=connection_string,
-            async_connection_string=async_connection_string,
-            table_name=table_name,
-            schema_name=schema_name,
-            hybrid_search=hybrid_search,
-            text_search_config=text_search_config,
-            embed_dim=embed_dim,
-            cache_ok=cache_ok,
-            perform_setup=perform_setup,
-            debug=debug,
-            use_jsonb=use_jsonb,
-        )
-
     async def close(self) -> None:
         if not self._is_initialized:
             return
diff --git a/tests/index/test_pai_bm25_index.py b/tests/index/test_pai_bm25_index.py
index 6320d688..4abb28de 100644
--- a/tests/index/test_pai_bm25_index.py
+++ b/tests/index/test_pai_bm25_index.py
@@ -18,7 +18,7 @@ def test_bm25():
 
     bm25 = LocalBm25IndexStore(persist_path)
 
-    nodes = [TextNode(id_=i, text=text) for i, text in enumerate(texts)]
+    nodes = [TextNode(id_=f"node_{i}", text=text) for i, text in enumerate(texts)]
     bm25.add_docs(nodes)
 
     nodes_with_score = bm25.query("模型开发")
diff --git a/tests/integrations/test_nl2pandas_retriever.py b/tests/integrations/test_nl2pandas_retriever.py
index fbd67b55..32285128 100644
--- a/tests/integrations/test_nl2pandas_retriever.py
+++ b/tests/integrations/test_nl2pandas_retriever.py
@@ -13,8 +13,9 @@
 )
 
 
-llm = DashScope(model_name="qwen-max", temperature=0.1)
-embed_model = DashScopeEmbedding(embed_batch_size=10)
+dashscope_key = os.environ.get("DASHSCOPE_API_KEY")
+llm = DashScope(model_name="qwen-max", temperature=0.1, api_key=dashscope_key)
+embed_model = DashScopeEmbedding(embed_batch_size=10, api_key=dashscope_key)
 Settings.llm = llm
 Settings.embed_model = embed_model
 
diff --git a/tests/integrations/test_nl2sql_retriever.py b/tests/integrations/test_nl2sql_retriever.py
index 7ab9d584..11626e03 100644
--- a/tests/integrations/test_nl2sql_retriever.py
+++ b/tests/integrations/test_nl2sql_retriever.py
@@ -17,8 +17,9 @@
 
 load_dotenv()
 
-llm = DashScope(model_name="qwen-max", temperature=0.1)
-embed_model = DashScopeEmbedding(embed_batch_size=10)
+dashscope_key = os.environ.get("DASHSCOPE_API_KEY")
+llm = DashScope(model_name="qwen-max", temperature=0.1, api_key=dashscope_key)
+embed_model = DashScopeEmbedding(embed_batch_size=10, api_key=dashscope_key)
 Settings.llm = llm
 Settings.embed_model = embed_model
 
diff --git a/tests/integrations/test_nodes_enhancement.py b/tests/integrations/test_nodes_enhancement.py
index 3770f8c7..122f77d6 100644
--- a/tests/integrations/test_nodes_enhancement.py
+++ b/tests/integrations/test_nodes_enhancement.py
@@ -21,7 +21,7 @@ async def test_enhance_nodes():
     DEFAULT_EMBED_BATCH_SIZE = 10
 
     # set embedding
-    llm = DashScope(model_name="qwen-turbo", temperature=0.1)
+    llm = DashScope(model_name="qwen-turbo", temperature=0.1, api_key=DASHSCOPE_API_KEY)
     embed_model = DashScopeEmbedding(
         api_key=DASHSCOPE_API_KEY, embed_batch_size=DEFAULT_EMBED_BATCH_SIZE
     )