diff --git a/poetry.lock b/poetry.lock
index b58c9a11..ca8535c4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -43,87 +43,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
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+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -152,13 +152,13 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "altair"
-version = "5.2.0"
+version = "5.3.0"
 description = "Vega-Altair: A declarative statistical visualization library for Python."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"},
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+    {file = "altair-5.3.0-py3-none-any.whl", hash = "sha256:7084a1dab4d83c5e7e5246b92dc1b4451a6c68fd057f3716ee9d315c8980e59a"},
+    {file = "altair-5.3.0.tar.gz", hash = "sha256:5a268b1a0983b23d8f9129f819f956174aa7aea2719ed55a52eba9979b9f6675"},
 ]
 
 [package.dependencies]
@@ -170,7 +170,8 @@ pandas = ">=0.25"
 toolz = "*"
 
 [package.extras]
-dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
+all = ["altair-tiles (>=0.3.0)", "anywidget (>=0.9.0)", "pyarrow (>=11)", "vega-datasets (>=0.9.0)", "vegafusion[embed] (>=1.6.6)", "vl-convert-python (>=1.3.0)"]
+dev = ["geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pytest", "pytest-cov", "ruff (>=0.3.0)", "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"]
 
 [[package]]
@@ -186,13 +187,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.3.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
-    {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
+    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
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 ]
 
 [package.dependencies]
@@ -200,9 +201,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "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", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "appnope"
@@ -230,20 +231,6 @@ files = [
 dev = ["mike", "mkdocs", "twine", "wheel"]
 test = ["coverage", "coveralls", "flake8", "pytest"]
 
-[[package]]
-name = "asgiref"
-version = "3.7.2"
-description = "ASGI specs, helper code, and adapters"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
-    {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
-]
-
-[package.extras]
-tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
-
 [[package]]
 name = "asttokens"
 version = "2.4.1"
@@ -283,13 +270,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "azure-core"
-version = "1.30.0"
+version = "1.30.1"
 description = "Microsoft Azure Core Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "azure-core-1.30.0.tar.gz", hash = "sha256:6f3a7883ef184722f6bd997262eddaf80cfe7e5b3e0caaaf8db1695695893d35"},
-    {file = "azure_core-1.30.0-py3-none-any.whl", hash = "sha256:3dae7962aad109610e68c9a7abb31d79720e1d982ddf61363038d175a5025e89"},
+    {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
+    {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"},
 ]
 
 [package.dependencies]
@@ -302,71 +289,20 @@ aio = ["aiohttp (>=3.0)"]
 
 [[package]]
 name = "azure-identity"
-version = "1.15.0"
+version = "1.16.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "azure-identity-1.15.0.tar.gz", hash = "sha256:4c28fc246b7f9265610eb5261d65931183d019a23d4b0e99357facb2e6c227c8"},
-    {file = "azure_identity-1.15.0-py3-none-any.whl", hash = "sha256:a14b1f01c7036f11f148f22cd8c16e05035293d714458d6b44ddf534d93eb912"},
+    {file = "azure-identity-1.16.0.tar.gz", hash = "sha256:6ff1d667cdcd81da1ceab42f80a0be63ca846629f518a922f7317a7e3c844e1b"},
+    {file = "azure_identity-1.16.0-py3-none-any.whl", hash = "sha256:722fdb60b8fdd55fa44dc378b8072f4b419b56a5e54c0de391f644949f3a826f"},
 ]
 
 [package.dependencies]
-azure-core = ">=1.23.0,<2.0.0"
+azure-core = ">=1.23.0"
 cryptography = ">=2.5"
-msal = ">=1.24.0,<2.0.0"
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 [package.dependencies]
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 [package.extras]
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 [[package]]
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 test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
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 ]
 
 [package.dependencies]
@@ -951,13 +759,13 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.4"
+version = "0.6.5"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.7"
 files = [
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 [package.dependencies]
@@ -966,20 +774,20 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "datasets"
-version = "2.17.1"
+version = "2.18.0"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 [package.dependencies]
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 filelock = "*"
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 huggingface-hub = ">=0.19.4"
 multiprocess = "*"
 numpy = ">=1.17"
@@ -996,11 +804,11 @@ xxhash = "*"
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 audio = ["librosa", "soundfile (>=0.12.1)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
@@ -1153,47 +961,51 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
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 ]
 
+[package.dependencies]
+numpy = "*"
+
 [[package]]
 name = "fastapi"
-version = "0.110.1"
+version = "0.110.3"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1202,7 +1014,7 @@ starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
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 [[package]]
 name = "fastjsonschema"
@@ -1230,80 +1042,69 @@ files = [
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.14.0"
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-    {file = "fsspec-2023.10.0.tar.gz", hash = "sha256:330c66757591df346ad3091a53bd907e15348c2ba17d63fd54f5c39c4457d2a5"},
+    {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
+    {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
 ]
 
 [package.dependencies]
 aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
-requests = {version = "*", optional = true, markers = "extra == \"http\""}
 
 [package.extras]
 abfs = ["adlfs"]
@@ -1436,7 +1236,7 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
 s3 = ["s3fs"]
@@ -1477,55 +1277,15 @@ gitdb = ">=4.0.1,<5"
 doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
 test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
 
-[[package]]
-name = "google-auth"
-version = "2.28.1"
-description = "Google Authentication Library"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "google-auth-2.28.1.tar.gz", hash = "sha256:34fc3046c257cedcf1622fc4b31fc2be7923d9b4d44973d481125ecc50d83885"},
-    {file = "google_auth-2.28.1-py2.py3-none-any.whl", hash = "sha256:25141e2d7a14bfcba945f5e9827f98092716e99482562f15306e5b026e21aa72"},
-]
-
-[package.dependencies]
-cachetools = ">=2.0.0,<6.0"
-pyasn1-modules = ">=0.2.1"
-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 (==36.0.2)", "pyopenssl (==22.0.0)"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
-reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
-
-[[package]]
-name = "googleapis-common-protos"
-version = "1.62.0"
-description = "Common protobufs used in Google APIs"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "googleapis-common-protos-1.62.0.tar.gz", hash = "sha256:83f0ece9f94e5672cced82f592d2a5edf527a96ed1794f0bab36d5735c996277"},
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-
-[package.dependencies]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
-
-[package.extras]
-grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
-
 [[package]]
 name = "gradio"
-version = "4.25.0"
+version = "4.29.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "gradio-4.25.0-py3-none-any.whl", hash = "sha256:3e953bf14ada8ed31a839e349b094a2f3894d80272848d604f14dea857d08272"},
-    {file = "gradio-4.25.0.tar.gz", hash = "sha256:1b87cc817ebedcac6b2542d550e0c9f63472f9dafc85a21617c97b784c5646c2"},
+    {file = "gradio-4.29.0-py3-none-any.whl", hash = "sha256:1fbd8ee53aabf056ea726c674174f7bea20656ce6ff2611781ec036a76c2359a"},
+    {file = "gradio-4.29.0.tar.gz", hash = "sha256:d7b293d1bf6404efb12e0220c5fa708c44c3a1133869324f949bfb1e39095e3a"},
 ]
 
 [package.dependencies]
@@ -1533,7 +1293,7 @@ aiofiles = ">=22.0,<24.0"
 altair = ">=4.2.0,<6.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = "0.15.0"
+gradio-client = "0.16.1"
 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
@@ -1552,8 +1312,9 @@ pyyaml = ">=5.0,<7.0"
 ruff = {version = ">=0.2.2", markers = "sys_platform != \"emscripten\""}
 semantic-version = ">=2.0,<3.0"
 tomlkit = "0.12.0"
-typer = {version = ">=0.9,<1.0", extras = ["all"], markers = "sys_platform != \"emscripten\""}
+typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""}
 typing-extensions = ">=4.0,<5.0"
+urllib3 = ">=2.0,<3.0"
 uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""}
 
 [package.extras]
@@ -1561,13 +1322,13 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "0.15.0"
+version = "0.16.1"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
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-    {file = "gradio_client-0.15.0.tar.gz", hash = "sha256:eb9533f6457cc158128dbf307c44a8123e41da18a040cb3dfa66860ba9029911"},
+    {file = "gradio_client-0.16.1-py3-none-any.whl", hash = "sha256:9da92f892d0f9e50a0a0eae7ff65aeeab0495919295dbc079703d1a99c13c980"},
+    {file = "gradio_client-0.16.1.tar.gz", hash = "sha256:28f6799366ca795fbd6ea72f328ee75ea2322417cf11d6a23ce825bca8954be1"},
 ]
 
 [package.dependencies]
@@ -1653,7 +1414,7 @@ test = ["objgraph", "psutil"]
 name = "grpcio"
 version = "1.60.1"
 description = "HTTP/2-based RPC framework"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "grpcio-1.60.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:14e8f2c84c0832773fb3958240c69def72357bc11392571f87b2d7b91e0bb092"},
@@ -1728,13 +1489,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
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+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -1745,55 +1506,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
-
-[[package]]
-name = "httptools"
-version = "0.6.1"
-description = "A collection of framework independent HTTP protocol utils."
-optional = false
-python-versions = ">=3.8.0"
-files = [
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-]
-
-[package.extras]
-test = ["Cython (>=0.29.24,<0.30.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -1851,29 +1564,15 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jed
 torch = ["torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
-[[package]]
-name = "humanfriendly"
-version = "10.0"
-description = "Human friendly output for text interfaces using Python"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-files = [
-    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
-    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
-]
-
-[package.dependencies]
-pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
-
 [[package]]
 name = "identify"
-version = "2.5.35"
+version = "2.5.36"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
-    {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"},
+    {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
+    {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"},
 ]
 
 [package.extras]
@@ -1881,58 +1580,53 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
 [[package]]
-name = "importlib-metadata"
-version = "6.11.0"
-description = "Read metadata from Python packages"
-optional = false
+name = "importlib-resources"
+version = "6.4.0"
+description = "Read resources from Python packages"
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
-    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
+    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
+    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
 ]
 
-[package.dependencies]
-zipp = ">=0.5"
-
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
-name = "importlib-resources"
-version = "6.1.2"
-description = "Read resources from Python packages"
+name = "intel-openmp"
+version = "2021.4.0"
+description = "Intel OpenMP* Runtime Library"
 optional = false
-python-versions = ">=3.8"
+python-versions = "*"
 files = [
-    {file = "importlib_resources-6.1.2-py3-none-any.whl", hash = "sha256:9a0a862501dc38b68adebc82970140c9e4209fc99601782925178f8386339938"},
-    {file = "importlib_resources-6.1.2.tar.gz", hash = "sha256:308abf8474e2dba5f867d279237cd4076482c3de7104a40b41426370e891549b"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:41c01e266a7fdb631a7609191709322da2bbf24b252ba763f125dd651bcc7675"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:3b921236a38384e2016f0f3d65af6732cf2c12918087128a9163225451e776f2"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:e2240ab8d01472fed04f3544a878cda5da16c26232b7ea1b59132dbfb48b186e"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:6e863d8fd3d7e8ef389d52cf97a50fe2afe1a19247e8c0d168ce021546f96fc9"},
+    {file = "intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:eef4c8bcc8acefd7f5cd3b9384dbf73d59e2c99fc56545712ded913f43c4a94f"},
 ]
 
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
-
 [[package]]
 name = "ipykernel"
-version = "6.29.3"
+version = "6.29.4"
 description = "IPython Kernel for Jupyter"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.29.3-py3-none-any.whl", hash = "sha256:5aa086a4175b0229d4eca211e181fb473ea78ffd9869af36ba7694c947302a21"},
-    {file = "ipykernel-6.29.3.tar.gz", hash = "sha256:e14c250d1f9ea3989490225cc1a542781b095a18a19447fcf2b5eaf7d0ac5bd2"},
+    {file = "ipykernel-6.29.4-py3-none-any.whl", hash = "sha256:1181e653d95c6808039c509ef8e67c4126b3b3af7781496c7cbfb5ed938a27da"},
+    {file = "ipykernel-6.29.4.tar.gz", hash = "sha256:3d44070060f9475ac2092b760123fadf105d2e2493c24848b6691a7c4f42af5c"},
 ]
 
 [package.dependencies]
@@ -1959,13 +1653,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
 name = "ipython"
-version = "8.22.1"
+version = "8.24.0"
 description = "IPython: Productive Interactive Computing"
 optional = true
 python-versions = ">=3.10"
 files = [
-    {file = "ipython-8.22.1-py3-none-any.whl", hash = "sha256:869335e8cded62ffb6fac8928e5287a05433d6462e3ebaac25f4216474dd6bc4"},
-    {file = "ipython-8.22.1.tar.gz", hash = "sha256:39c6f9efc079fb19bfb0f17eee903978fe9a290b1b82d68196c641cecb76ea22"},
+    {file = "ipython-8.24.0-py3-none-any.whl", hash = "sha256:d7bf2f6c4314984e3e02393213bab8703cf163ede39672ce5918c51fe253a2a3"},
+    {file = "ipython-8.24.0.tar.gz", hash = "sha256:010db3f8a728a578bb641fdd06c063b9fb8e96a9464c63aec6310fbcb5e80501"},
 ]
 
 [package.dependencies]
@@ -1978,18 +1672,20 @@ prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5.13.0"
+typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 
 [package.extras]
-all = ["ipython[black,doc,kernel,nbconvert,nbformat,notebook,parallel,qtconsole,terminal]", "ipython[test,test-extra]"]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
 black = ["black"]
 doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"]
 kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath"]
+test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
 test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
 [[package]]
@@ -2027,13 +1723,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.3"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
-    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
 [package.dependencies]
@@ -2044,13 +1740,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
-    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
+    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
+    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
 [[package]]
@@ -2080,13 +1776,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.21.1"
+version = "4.22.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
-    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
+    {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
+    {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
 ]
 
 [package.dependencies]
@@ -2115,13 +1811,13 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter-client"
-version = "8.6.0"
+version = "8.6.1"
 description = "Jupyter protocol implementation and client libraries"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_client-8.6.0-py3-none-any.whl", hash = "sha256:909c474dbe62582ae62b758bca86d6518c85234bdee2d908c778db6d72f39d99"},
-    {file = "jupyter_client-8.6.0.tar.gz", hash = "sha256:0642244bb83b4764ae60d07e010e15f0e2d275ec4e918a8f7b80fbbef3ca60c7"},
+    {file = "jupyter_client-8.6.1-py3-none-any.whl", hash = "sha256:3b7bd22f058434e3b9a7ea4b1500ed47de2713872288c0d511d19926f99b459f"},
+    {file = "jupyter_client-8.6.1.tar.gz", hash = "sha256:e842515e2bab8e19186d89fdfea7abd15e39dd581f94e399f00e2af5a1652d3f"},
 ]
 
 [package.dependencies]
@@ -2137,13 +1833,13 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.7.1"
+version = "5.7.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.7.1-py3-none-any.whl", hash = "sha256:c65c82126453a723a2804aa52409930434598fd9d35091d63dfb919d2b765bb7"},
-    {file = "jupyter_core-5.7.1.tar.gz", hash = "sha256:de61a9d7fc71240f688b2fb5ab659fbb56979458dc66a71decd098e03c79e218"},
+    {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
+    {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
 ]
 
 [package.dependencies]
@@ -2153,7 +1849,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
-test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
+test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyterlab-pygments"
@@ -2279,32 +1975,6 @@ files = [
     {file = "kiwisolver-1.4.5.tar.gz", hash = "sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec"},
 ]
 
-[[package]]
-name = "kubernetes"
-version = "29.0.0"
-description = "Kubernetes python client"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
-    {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
-]
-
-[package.dependencies]
-certifi = ">=14.05.14"
-google-auth = ">=1.0.1"
-oauthlib = ">=3.2.2"
-python-dateutil = ">=2.5.3"
-pyyaml = ">=5.4.1"
-requests = "*"
-requests-oauthlib = "*"
-six = ">=1.9.0"
-urllib3 = ">=1.24.2"
-websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
-
-[package.extras]
-adal = ["adal (>=1.0.2)"]
-
 [[package]]
 name = "langchain"
 version = "0.1.14"
@@ -2373,13 +2043,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
 
 [[package]]
 name = "langchain-core"
-version = "0.1.38"
+version = "0.1.52"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.1.38-py3-none-any.whl", hash = "sha256:d881b2754254cb4bdb0d5bb56e5c138d032b6e75e5cb21f151b01224b322e02b"},
-    {file = "langchain_core-0.1.38.tar.gz", hash = "sha256:ee8da6d061c06cce7dc22fec224b6ecbc3a8de106d6dd9f409c7fe448ea41861"},
+    {file = "langchain_core-0.1.52-py3-none-any.whl", hash = "sha256:62566749c92e8a1181c255c788548dc16dbc319d896cd6b9c95dc17af9b2a6db"},
+    {file = "langchain_core-0.1.52.tar.gz", hash = "sha256:084c3fc452f5a6966c28ab3ec5dbc8b8d26fc3f63378073928f4e29d90b6393f"},
 ]
 
 [package.dependencies]
@@ -2388,7 +2058,6 @@ langsmith = ">=0.1.0,<0.2.0"
 packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
-requests = ">=2,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
@@ -2413,13 +2082,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.38"
+version = "0.1.56"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.38-py3-none-any.whl", hash = "sha256:f36479f82cf537cf40d129ac2e485e72a3981360c7b6cf2549dad77d98eafd8f"},
-    {file = "langsmith-0.1.38.tar.gz", hash = "sha256:2c1f98ac0a8c02e43b625650a6e13c65b09523551bfc21a59d20963f46f7d265"},
+    {file = "langsmith-0.1.56-py3-none-any.whl", hash = "sha256:2f930e054ea8eccd8ff99f0f129ae7d2513973b2e706d5483f44ea9951a1dca0"},
+    {file = "langsmith-0.1.56.tar.gz", hash = "sha256:ff645b5bf16e2566740218ed6c048a1f8edbbedb4480a0d305a837ec71303fbf"},
 ]
 
 [package.dependencies]
@@ -2429,12 +2098,12 @@ requests = ">=2,<3"
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.58"
+version = "0.2.72"
 description = "Python bindings for the llama.cpp library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.58.tar.gz", hash = "sha256:50d4d16835326b15f5c4ed20dbf2f24508bf29b34531d50612ce215a596dde3f"},
+    {file = "llama_cpp_python-0.2.72.tar.gz", hash = "sha256:7da4957043927f73d4425c919c843581e5a3ceb5e65cafbc29bfb45703814a56"},
 ]
 
 [package.dependencies]
@@ -2446,24 +2115,24 @@ typing-extensions = ">=4.5.0"
 [package.extras]
 all = ["llama_cpp_python[dev,server,test]"]
 dev = ["black (>=23.3.0)", "httpx (>=0.24.1)", "mkdocs (>=1.4.3)", "mkdocs-material (>=9.1.18)", "mkdocstrings[python] (>=0.22.0)", "pytest (>=7.4.0)", "twine (>=4.0.2)"]
-server = ["fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
+server = ["PyYAML (>=5.1)", "fastapi (>=0.100.0)", "pydantic-settings (>=2.0.1)", "sse-starlette (>=1.6.1)", "starlette-context (>=0.3.6,<0.4)", "uvicorn (>=0.22.0)"]
 test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
 [[package]]
 name = "llama-index"
-version = "0.10.26"
+version = "0.10.36"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index-0.10.26-py3-none-any.whl", hash = "sha256:25a3f8c9f63fbdaaf3d760ce59c5dad8afc5cf40431e9e6a28e02b92a820d450"},
-    {file = "llama_index-0.10.26.tar.gz", hash = "sha256:5a6036bcb2449277ede3244cfa1b49d9fab5dba30ad8b212c2df92449cfa7d48"},
+    {file = "llama_index-0.10.36-py3-none-any.whl", hash = "sha256:e57779f332323b00576cf9e8fee0ab5b978aaf35902288691da01a7839b99e58"},
+    {file = "llama_index-0.10.36.tar.gz", hash = "sha256:275309a2317e9279b296e552c334e566c4f011223f6ed39e342f5264a05c4d9a"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.1.4,<0.3.0"
 llama-index-cli = ">=0.1.2,<0.2.0"
-llama-index-core = ">=0.10.26,<0.11.0"
+llama-index-core = ">=0.10.35,<0.11.0"
 llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
 llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
 llama-index-legacy = ">=0.9.48,<0.10.0"
@@ -2476,45 +2145,45 @@ llama-index-readers-llama-parse = ">=0.1.2,<0.2.0"
 
 [[package]]
 name = "llama-index-agent-openai"
-version = "0.1.5"
+version = "0.2.4"
 description = "llama-index agent openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_agent_openai-0.1.5-py3-none-any.whl", hash = "sha256:1ab06fe853d9d391ba724dcb0009b249ae88ca4de4b5842226373b0c55ee435a"},
-    {file = "llama_index_agent_openai-0.1.5.tar.gz", hash = "sha256:42099326d526af140493c5f744ef70bef0aed8a941b6c9aea4b3eff9c63f0ba6"},
+    {file = "llama_index_agent_openai-0.2.4-py3-none-any.whl", hash = "sha256:b05eb7f0331d40a7a2bcaabaa84c9c7ebe6837a72038d03cbb71c083a4301a81"},
+    {file = "llama_index_agent_openai-0.2.4.tar.gz", hash = "sha256:cd4a58f8bf233728ceda554cbb34de56a2b6bbbbff6ce801c3f8ff0c8280bf55"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.10.35,<0.11.0"
 llama-index-llms-openai = ">=0.1.5,<0.2.0"
+openai = ">=1.14.0"
 
 [[package]]
 name = "llama-index-cli"
-version = "0.1.5"
+version = "0.1.12"
 description = "llama-index cli"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_cli-0.1.5-py3-none-any.whl", hash = "sha256:a0fcfc3239d8b05158558423ca5c1a426d2a455eab44128b2b786cab566f74ad"},
-    {file = "llama_index_cli-0.1.5.tar.gz", hash = "sha256:e2493ff7ecfd1983fd15c28c6c0c7bfdba66662c1d8960f6aea229db3d7fafda"},
+    {file = "llama_index_cli-0.1.12-py3-none-any.whl", hash = "sha256:d80d546786f02d3f16f6183b8e86b22b8b5c33a1500923659f2ccbff8d5df634"},
+    {file = "llama_index_cli-0.1.12.tar.gz", hash = "sha256:3cf1f706c3c69c6b1aab07fca7faad3959db1709808efd50491b669d38b0b580"},
 ]
 
 [package.dependencies]
 llama-index-core = ">=0.10.11.post1,<0.11.0"
 llama-index-embeddings-openai = ">=0.1.1,<0.2.0"
 llama-index-llms-openai = ">=0.1.1,<0.2.0"
-llama-index-vector-stores-chroma = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.26"
+version = "0.10.36"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_core-0.10.26-py3-none-any.whl", hash = "sha256:e08886b9d353fb45f63d0011e78326627f1ee5c7761585fdd85a9a0dfdbf0365"},
-    {file = "llama_index_core-0.10.26.tar.gz", hash = "sha256:8ea27093a053aed79b7b5d80694152066ddaa5b70116308d48db382c76367a87"},
+    {file = "llama_index_core-0.10.36-py3-none-any.whl", hash = "sha256:a6e8ea790e5b3656a254d9b47f8c00044dd46aae1cd43004c5d1303a7502b3e6"},
+    {file = "llama_index_core-0.10.36.tar.gz", hash = "sha256:02f06bdefb5c6fd11dee1f65007a98decf3b266ad76136b7cfd3bec44efc5493"},
 ]
 
 [package.dependencies]
@@ -2524,7 +2193,7 @@ deprecated = ">=1.2.9.3"
 dirtyjson = ">=1.0.8,<2.0.0"
 fsspec = ">=2023.5.0"
 httpx = "*"
-llamaindex-py-client = ">=0.1.15,<0.2.0"
+llamaindex-py-client = ">=0.1.18,<0.2.0"
 nest-asyncio = ">=1.5.8,<2.0.0"
 networkx = ">=3.0"
 nltk = ">=3.8.1,<4.0.0"
@@ -2566,13 +2235,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-embeddings-openai"
-version = "0.1.6"
+version = "0.1.9"
 description = "llama-index embeddings openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_openai-0.1.6-py3-none-any.whl", hash = "sha256:f8b2dded0718e9f57c08ce352d186941e6acf7de414c64219210b66f7a6d6d2d"},
-    {file = "llama_index_embeddings_openai-0.1.6.tar.gz", hash = "sha256:f12f0ef6f92211efe1a022a97bb68fc8731c93bd20df3b0567dba69c610033db"},
+    {file = "llama_index_embeddings_openai-0.1.9-py3-none-any.whl", hash = "sha256:fbd16d6197b91f4dbdc6d0707e573cc224ac2b0a48d5b370c6232dd8a2282473"},
+    {file = "llama_index_embeddings_openai-0.1.9.tar.gz", hash = "sha256:0fd292b2f9a0ad4534a790d6374726bc885853188087eb018167dcf239643924"},
 ]
 
 [package.dependencies]
@@ -2580,18 +2249,18 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-indices-managed-llama-cloud"
-version = "0.1.3"
+version = "0.1.6"
 description = "llama-index indices llama-cloud integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_indices_managed_llama_cloud-0.1.3-py3-none-any.whl", hash = "sha256:9fe2823855f00bf8b091be008ce953b9a9c5d4b2d976b54ab0d37877c83457f5"},
-    {file = "llama_index_indices_managed_llama_cloud-0.1.3.tar.gz", hash = "sha256:5db725cb7db675019dc65e38153890802e2ae89838c127c19d3184efc46ea28b"},
+    {file = "llama_index_indices_managed_llama_cloud-0.1.6-py3-none-any.whl", hash = "sha256:cba33e1a3677b2a2ae7f239119acbf6dc3818f105edc92315729842b56fbc949"},
+    {file = "llama_index_indices_managed_llama_cloud-0.1.6.tar.gz", hash = "sha256:74b3b0e9ebf9d348d3054f9fc0c657031acceb9351c31116ad8d5a7ae4729f5c"},
 ]
 
 [package.dependencies]
 llama-index-core = ">=0.10.0,<0.11.0"
-llamaindex-py-client = ">=0.1.13,<0.2.0"
+llamaindex-py-client = ">=0.1.19,<0.2.0"
 
 [[package]]
 name = "llama-index-legacy"
@@ -2634,13 +2303,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
 
 [[package]]
 name = "llama-index-llms-azure-openai"
-version = "0.1.5"
+version = "0.1.8"
 description = "llama-index llms azure openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_azure_openai-0.1.5-py3-none-any.whl", hash = "sha256:180805a7114198155aad7cc3abdf599142c59242d366b11ee8a9150de35b7773"},
-    {file = "llama_index_llms_azure_openai-0.1.5.tar.gz", hash = "sha256:5a1c3d1a6a4fe4d03acb50b61594e6775dc86a431738afa291f3708029299a92"},
+    {file = "llama_index_llms_azure_openai-0.1.8-py3-none-any.whl", hash = "sha256:a906cac9e20d686de6b4930f1095c2bc3373e8ec758249f84109e49dd36983ab"},
+    {file = "llama_index_llms_azure_openai-0.1.8.tar.gz", hash = "sha256:bc6d8990322573dcf74c5962df07fbf39394a0c1cf53e024f70d4f468024e191"},
 ]
 
 [package.dependencies]
@@ -2651,18 +2320,19 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-llms-huggingface"
-version = "0.1.4"
+version = "0.1.5"
 description = "llama-index llms huggingface integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_huggingface-0.1.4-py3-none-any.whl", hash = "sha256:4cff9a7e4a2bd1197a9653dc00ed8b9bdd1f83f7e3f89c2dbed433278bd85858"},
-    {file = "llama_index_llms_huggingface-0.1.4.tar.gz", hash = "sha256:b2c09671bcfea22d55b74453958262b042f8cc48bab1b660e15fd4c7f1808fd6"},
+    {file = "llama_index_llms_huggingface-0.1.5-py3-none-any.whl", hash = "sha256:552d60ba2620e28aa6b5a813747583021620abaf49a4f95b368120fd776e7ca9"},
+    {file = "llama_index_llms_huggingface-0.1.5.tar.gz", hash = "sha256:2a8fe9355b7283bea3638ffbaff60010381e16efd3c9fe42071dca0b512a03d4"},
 ]
 
 [package.dependencies]
 huggingface-hub = ">=0.20.3,<0.21.0"
 llama-index-core = ">=0.10.1,<0.11.0"
+text-generation = ">=0.7.0,<0.8.0"
 torch = ">=2.1.2,<3.0.0"
 transformers = {version = ">=4.37.0,<5.0.0", extras = ["torch"]}
 
@@ -2683,13 +2353,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.14"
+version = "0.1.18"
 description = "llama-index llms openai integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_openai-0.1.14-py3-none-any.whl", hash = "sha256:13cec467962a6ccb9e63451c7febe8e9c2ed536bd6b1058239c2b4fd86776060"},
-    {file = "llama_index_llms_openai-0.1.14.tar.gz", hash = "sha256:7eba66882ae84fa42b188941234b84267c48e449ef214f511756dcad3f9f0b62"},
+    {file = "llama_index_llms_openai-0.1.18-py3-none-any.whl", hash = "sha256:934cf72d10385f1c76c0183b0e94ce1850fab1026287e01b7db0a14c946dfd79"},
+    {file = "llama_index_llms_openai-0.1.18.tar.gz", hash = "sha256:8cb7546a1885ba558ff580b114d638569a0aed81a264961114e719bc42b37100"},
 ]
 
 [package.dependencies]
@@ -2697,13 +2367,13 @@ llama-index-core = ">=0.10.24,<0.11.0"
 
 [[package]]
 name = "llama-index-multi-modal-llms-openai"
-version = "0.1.4"
+version = "0.1.5"
 description = "llama-index multi-modal-llms openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_multi_modal_llms_openai-0.1.4-py3-none-any.whl", hash = "sha256:03b887d110551d5d5b99b9fd110824e6311f2e31f4d5e67dafd2ee66da32818d"},
-    {file = "llama_index_multi_modal_llms_openai-0.1.4.tar.gz", hash = "sha256:6a5d6584c33a9d1b06cf5c874c63af2603fc93b660bde481a8c547e876c6e2c3"},
+    {file = "llama_index_multi_modal_llms_openai-0.1.5-py3-none-any.whl", hash = "sha256:bb332580e7e4b5f2f87488b3649d2ceb53ee82c848e59694578a982c3982ce0b"},
+    {file = "llama_index_multi_modal_llms_openai-0.1.5.tar.gz", hash = "sha256:9a237f4f886d1e20c27e9493e80b3e1f8753859481ff1b58fe25b7aa39b198a2"},
 ]
 
 [package.dependencies]
@@ -2712,17 +2382,17 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-program-openai"
-version = "0.1.4"
+version = "0.1.6"
 description = "llama-index program openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_program_openai-0.1.4-py3-none-any.whl", hash = "sha256:cfa8f00f3743d2fc70043e80f7c3925d23b1413a0cc7a72863ad60497a18307d"},
-    {file = "llama_index_program_openai-0.1.4.tar.gz", hash = "sha256:573e99a2dd16ad3caf382c8ab28d1ac10eb2571bc9481d84a6d89806ad6aa5d4"},
+    {file = "llama_index_program_openai-0.1.6-py3-none-any.whl", hash = "sha256:4660b338503537c5edca1e0dab606af6ce372b4f1b597e2833c6b602447c5d8d"},
+    {file = "llama_index_program_openai-0.1.6.tar.gz", hash = "sha256:c6a4980c5ea826088b28b4dee3367edb20221e6d05eb0e05019049190131d772"},
 ]
 
 [package.dependencies]
-llama-index-agent-openai = ">=0.1.1,<0.2.0"
+llama-index-agent-openai = ">=0.1.1,<0.3.0"
 llama-index-core = ">=0.10.1,<0.11.0"
 llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
@@ -2744,31 +2414,33 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.13"
+version = "0.1.22"
 description = "llama-index readers file integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_file-0.1.13-py3-none-any.whl", hash = "sha256:692988b8c3ca2807d21a171351078b634ada2ff1682ebe4a484f82da384dfc55"},
-    {file = "llama_index_readers_file-0.1.13.tar.gz", hash = "sha256:830f06ec7b34437fc3bb5f268d235c5c7640296adb148d8f92277dceb7f0846d"},
+    {file = "llama_index_readers_file-0.1.22-py3-none-any.whl", hash = "sha256:a8d4a69a9ea659c14ebb22ca9a5560b9c7ec6f501e7f68f6c52f591374165376"},
+    {file = "llama_index_readers_file-0.1.22.tar.gz", hash = "sha256:37de54ad0cfbdc607c195532b9a292417a4714f57773570b87027b8dc381f0e2"},
 ]
 
 [package.dependencies]
 beautifulsoup4 = ">=4.12.3,<5.0.0"
 llama-index-core = ">=0.10.1,<0.11.0"
-pymupdf = ">=1.23.21,<2.0.0"
 pypdf = ">=4.0.1,<5.0.0"
 striprtf = ">=0.0.26,<0.0.27"
 
+[package.extras]
+pymupdf = ["pymupdf (>=1.23.21,<2.0.0)"]
+
 [[package]]
 name = "llama-index-readers-github"
-version = "0.1.7"
+version = "0.1.9"
 description = "llama-index readers github integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_github-0.1.7-py3-none-any.whl", hash = "sha256:c1e70ee14ca9ca35920ba4ebb1af7acc7a9c421bab632c73ab5846714a089947"},
-    {file = "llama_index_readers_github-0.1.7.tar.gz", hash = "sha256:5dc8d2d10615640da75e0bea03147795a5e752556e9dc701852c1a6b182b869d"},
+    {file = "llama_index_readers_github-0.1.9-py3-none-any.whl", hash = "sha256:2ef032ea4097ab2f7a879be588818e14a01ebac951bec64da38fed0d247c6ba7"},
+    {file = "llama_index_readers_github-0.1.9.tar.gz", hash = "sha256:2b189fc84979775bd64648e70484a786d25eda68f7247b9b84f7a25be1110f9c"},
 ]
 
 [package.dependencies]
@@ -2778,59 +2450,42 @@ llama-index-readers-file = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-readers-llama-parse"
-version = "0.1.3"
+version = "0.1.4"
 description = "llama-index readers llama-parse integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_llama_parse-0.1.3-py3-none-any.whl", hash = "sha256:f52a06a2765a2ffe6c138cf1703ab1de6249ff069ba62d80b9147e849bbcbc27"},
-    {file = "llama_index_readers_llama_parse-0.1.3.tar.gz", hash = "sha256:e0ee0c393e10fc80eac644788338bbd2032050c8b8a474f3d0b5ebd08e9867fe"},
+    {file = "llama_index_readers_llama_parse-0.1.4-py3-none-any.whl", hash = "sha256:c4914b37d12cceee56fbd185cca80f87d60acbf8ea7a73f9719610180be1fcdd"},
+    {file = "llama_index_readers_llama_parse-0.1.4.tar.gz", hash = "sha256:78608b193c818894aefeee0aa303f02b7f80f2e4caf13866c2fd3b0b1023e2c0"},
 ]
 
 [package.dependencies]
 llama-index-core = ">=0.10.7,<0.11.0"
-llama-parse = ">=0.3.3,<0.4.0"
-
-[[package]]
-name = "llama-index-vector-stores-chroma"
-version = "0.1.4"
-description = "llama-index vector_stores chroma integration"
-optional = false
-python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "llama_index_vector_stores_chroma-0.1.4-py3-none-any.whl", hash = "sha256:f475a450431ee4d9b2915ba9da2112dfdfacaee1ea220b8603720be1c116786c"},
-    {file = "llama_index_vector_stores_chroma-0.1.4.tar.gz", hash = "sha256:7364f2a3f8a51b83d350da39da7e7046704cfa9c848ebe8fd1c6cb39ad4878f9"},
-]
-
-[package.dependencies]
-chromadb = ">=0.4.22,<0.5.0"
-llama-index-core = ">=0.10.1,<0.11.0"
-onnxruntime = ">=1.17.0,<2.0.0"
-tokenizers = ">=0.15.1,<0.16.0"
+llama-parse = ">=0.4.0,<0.5.0"
 
 [[package]]
 name = "llama-parse"
-version = "0.3.4"
+version = "0.4.2"
 description = "Parse files into RAG-Optimized formats."
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_parse-0.3.4-py3-none-any.whl", hash = "sha256:b667c78d4c32fc5d0561e6e3ca6c53648a6701b436f21d0d252cd46774927660"},
-    {file = "llama_parse-0.3.4.tar.gz", hash = "sha256:5a30569c390ab9089dad66cf2a8c967f8c21d77641deec0a922672df4e16cfa3"},
+    {file = "llama_parse-0.4.2-py3-none-any.whl", hash = "sha256:5ce0390141f216dcd88c1123fea7f2a4f561d177f791a97217a3db3509dec4ff"},
+    {file = "llama_parse-0.4.2.tar.gz", hash = "sha256:fa04c09730b102155f6505de9cf91998c86d334581f0f12597c5eb47ca5db859"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.7"
+llama-index-core = ">=0.10.29"
 
 [[package]]
 name = "llamaindex-py-client"
-version = "0.1.15"
+version = "0.1.19"
 description = ""
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4,>=3.8"
 files = [
-    {file = "llamaindex_py_client-0.1.15-py3-none-any.whl", hash = "sha256:d189f23a8f7f78d0e170f62b531dd6ac030eadcb7dd7d38c1b543c4c98c51e5c"},
-    {file = "llamaindex_py_client-0.1.15.tar.gz", hash = "sha256:c7ce26855ba976153bb40157c3c194223c6b75179935b988dd4bd6a3fe83aacb"},
+    {file = "llamaindex_py_client-0.1.19-py3-none-any.whl", hash = "sha256:fd9416fd78b97209bf323bc3c7fab314499778563e7274f10853ad560563d10e"},
+    {file = "llamaindex_py_client-0.1.19.tar.gz", hash = "sha256:73f74792bb8c092bae6dc626627a09ac13a099fa8d10f8fcc83e17a2b332cca7"},
 ]
 
 [package.dependencies]
@@ -2932,13 +2587,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.0"
+version = "3.21.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "marshmallow-3.21.0-py3-none-any.whl", hash = "sha256:e7997f83571c7fd476042c2c188e4ee8a78900ca5e74bd9c8097afa56624e9bd"},
-    {file = "marshmallow-3.21.0.tar.gz", hash = "sha256:20f53be28c6e374a711a16165fb22a8dc6003e3f7cda1285e3ca777b9193885b"},
+    {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
+    {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
 ]
 
 [package.dependencies]
@@ -2946,44 +2601,44 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "matplotlib"
-version = "3.8.3"
+version = "3.8.4"
 description = "Python plotting package"
 optional = true
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 kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
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 packaging = ">=20.0"
 pillow = ">=8"
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-[package.extras]
-test = ["mypy (>=1.0)", "pytest (>=7.0.0)"]
-
-[[package]]
-name = "monotonic"
-version = "1.6"
-description = "An implementation of time.monotonic() for Python 2 & < 3.3"
-optional = false
-python-versions = "*"
-files = [
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-]
+[package.dependencies]
+intel-openmp = "==2021.*"
+tbb = "==2021.*"
 
 [[package]]
 name = "mpmath"
@@ -3155,13 +2725,13 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msal"
-version = "1.27.0"
+version = "1.28.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = false
-python-versions = ">=2.7"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3327,13 +2897,13 @@ files = [
 
 [[package]]
 name = "nbclient"
-version = "0.9.0"
+version = "0.10.0"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = true
 python-versions = ">=3.8.0"
 files = [
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+    {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"},
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 ]
 
 [package.dependencies]
@@ -3345,17 +2915,17 @@ traitlets = ">=5.4"
 [package.extras]
 dev = ["pre-commit"]
 docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
-test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
+test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.16.1"
+version = "7.16.4"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"},
+    {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"},
 ]
 
 [package.dependencies]
@@ -3376,29 +2946,29 @@ tinycss2 = "*"
 traitlets = ">=5.1"
 
 [package.extras]
-all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"]
+all = ["flaky", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (==5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"]
 docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
-qtpdf = ["nbconvert[qtpng]"]
+qtpdf = ["pyqtwebengine (>=5.15)"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest"]
+test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"]
 webpdf = ["playwright"]
 
 [[package]]
 name = "nbformat"
-version = "5.9.2"
+version = "5.10.4"
 description = "The Jupyter Notebook format"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"},
 ]
 
 [package.dependencies]
-fastjsonschema = "*"
+fastjsonschema = ">=2.15"
 jsonschema = ">=2.6"
-jupyter-core = "*"
+jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
 traitlets = ">=5.1"
 
 [package.extras]
@@ -3418,20 +2988,20 @@ files = [
 
 [[package]]
 name = "networkx"
-version = "3.2.1"
+version = "3.3"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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-    {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
+    {file = "networkx-3.3-py3-none-any.whl", hash = "sha256:28575580c6ebdaf4505b22c6256a2b9de86b316dc63ba9e93abde3d78dfdbcf2"},
+    {file = "networkx-3.3.tar.gz", hash = "sha256:0c127d8b2f4865f59ae9cb8aafcd60b5c70f3241ebd66f7defad7c4ab90126c9"},
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 [package.extras]
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 [[package]]
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 [[package]]
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 python-versions = ">=3"
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 python-versions = ">=3"
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 [[package]]
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-
 [[package]]
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 description = "The official Python library for the openai API"
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 python-versions = ">=3.7.1"
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 [[package]]
-name = "opentelemetry-api"
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-description = "OpenTelemetry Python API"
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 python-versions = ">=3.8"
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 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
 tzdata = ">=2022.7"
@@ -4068,18 +3401,18 @@ files = [
 
 [[package]]
 name = "parso"
-version = "0.8.3"
+version = "0.8.4"
 description = "A Python Parser"
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["docopt", "pytest (<6.0.0)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["docopt", "pytest"]
 
 [[package]]
 name = "parver"
@@ -4215,18 +3548,19 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.0"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "4.2.1"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "portalocker"
@@ -4247,38 +3581,15 @@ docs = ["sphinx (>=1.7.1)"]
 redis = ["redis"]
 tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "pytest-timeout (>=2.1.0)", "redis", "sphinx (>=6.0.0)", "types-redis"]
 
-[[package]]
-name = "posthog"
-version = "3.4.2"
-description = "Integrate PostHog into any python application."
-optional = false
-python-versions = "*"
-files = [
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-
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-monotonic = ">=1.5"
-python-dateutil = ">2.1"
-requests = ">=2.7,<3.0"
-six = ">=1.5"
-
-[package.extras]
-dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
-sentry = ["django", "sentry-sdk"]
-test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
-
 [[package]]
 name = "pre-commit"
-version = "3.6.2"
+version = "3.7.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -4306,7 +3617,7 @@ wcwidth = "*"
 name = "protobuf"
 version = "4.25.3"
 description = ""
-optional = false
+optional = true
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -4674,17 +3913,16 @@ files = [
 
 [[package]]
 name = "pygments"
-version = "2.17.2"
+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = true
-python-versions = ">=3.7"
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 files = [
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 [package.extras]
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 [[package]]
 name = "pyparsing"
-version = "3.1.1"
+version = "3.1.2"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = true
 python-versions = ">=3.6.8"
 files = [
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 ]
 
 [package.extras]
@@ -4781,13 +3961,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "4.0.2"
+version = "4.2.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
@@ -4797,66 +3977,20 @@ docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
 full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
 image = ["Pillow (>=8.0.0)"]
 
-[[package]]
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-description = "A SQL query builder API for Python"
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 [[package]]
 name = "python-dateutil"
-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
 six = ">=1.5"
 
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-version = "1.0.1"
-description = "Read key-value pairs from a .env file and set them as environment variables"
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-
 [[package]]
 name = "python-multipart"
 version = "0.0.9"
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 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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 scipy = ">=1.6.0"
 threadpoolctl = ">=2.0.0"
 
@@ -5567,45 +4630,45 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.3)", "numpydoc (
 
 [[package]]
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 [[package]]
 name = "semantic-version"
@@ -5635,13 +4698,13 @@ files = [
 
 [[package]]
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 [package.dependencies]
@@ -5652,22 +4715,25 @@ scikit-learn = "*"
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 [package.dependencies]
@@ -5849,7 +4915,7 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 name = "starlette"
 version = "0.37.2"
 description = "The little ASGI library that shines."
-optional = false
+optional = true
 python-versions = ">=3.8"
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@@ -5887,29 +4953,59 @@ files = [
 [package.dependencies]
 mpmath = ">=0.19"
 
+[[package]]
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+version = "2021.12.0"
+description = "Intel® oneAPI Threading Building Blocks (oneTBB)"
+optional = false
+python-versions = "*"
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+
 [[package]]
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+version = "8.3.0"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.7"
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+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
+
+[[package]]
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+version = "0.7.0"
+description = "Hugging Face Text Generation Python Client"
+optional = false
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@@ -5966,13 +5062,13 @@ blobfile = ["blobfile (>=2)"]
 
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-version = "1.2.1"
+version = "1.3.0"
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-python-versions = ">=3.7"
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 [package.extras]
 doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["flake8", "isort", "pytest"]
+test = ["pytest", "ruff"]
 
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+
+[package.dependencies]
+huggingface-hub = ">=0.16.4,<1.0"
 
 [package.extras]
 dev = ["tokenizers[testing]"]
-docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
-testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "tomlkit"
@@ -6133,42 +5219,38 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.2.2"
+version = "2.3.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = "*"
 jinja2 = "*"
+mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
 networkx = "*"
 nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
@@ -6179,10 +5261,10 @@ nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linu
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -6211,13 +5293,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
-    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]
@@ -6231,28 +5313,28 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.1"
+version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
-    {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "transformers"
-version = "4.39.2"
+version = "4.40.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.39.2-py3-none-any.whl", hash = "sha256:8388a4ae1d91ade935f5c5b36dc47aa1a352b092c30595e3337b49a5f7e71b4e"},
-    {file = "transformers-4.39.2.tar.gz", hash = "sha256:be0c7392cb92ab48efab2656f1cfd1cbda33b2b8a2917a18bd1196707dbebe14"},
+    {file = "transformers-4.40.2-py3-none-any.whl", hash = "sha256:71cb94301ec211a2e1d4b8c8d18dcfaa902dfa00a089dceca167a8aa265d6f2d"},
+    {file = "transformers-4.40.2.tar.gz", hash = "sha256:657b6054a2097671398d976ad46e60836e7e15f9ea9551631a96e33cb9240649"},
 ]
 
 [package.dependencies]
@@ -6265,22 +5347,22 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.14,<0.19"
+tokenizers = ">=0.19,<0.20"
 torch = {version = "*", optional = true, markers = "extra == \"torch\""}
 tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.21.0)"]
 agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"]
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-docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -6301,32 +5383,32 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
-tokenizers = ["tokenizers (>=0.14,<0.19)"]
+tokenizers = ["tokenizers (>=0.19,<0.20)"]
 torch = ["accelerate (>=0.21.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "2.2.0"
+version = "2.3.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
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 ]
 
 [package.dependencies]
@@ -6339,37 +5421,30 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
 [[package]]
 name = "typer"
-version = "0.9.0"
+version = "0.12.3"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-optional = false
-python-versions = ">=3.6"
+optional = true
+python-versions = ">=3.7"
 files = [
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 [package.dependencies]
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-shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
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-
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -6419,7 +5494,7 @@ zstd = ["zstandard (>=0.18.0)"]
 name = "uvicorn"
 version = "0.23.2"
 description = "The lightning-fast ASGI server."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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@@ -6428,71 +5503,20 @@ files = [
 
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-watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
-websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
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-[[package]]
-name = "uvloop"
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-python-versions = ">=3.8.0"
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-
 [[package]]
 name = "virtualenv"
-version = "20.25.1"
+version = "20.26.1"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -6501,96 +5525,9 @@ filelock = ">=3.12.2,<4"
 platformdirs = ">=3.9.1,<5"
 
 [package.extras]
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+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
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-[[package]]
-name = "watchfiles"
-version = "0.21.0"
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-optional = false
-python-versions = ">=3.8"
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-    {file = "watchfiles-0.21.0.tar.gz", hash = "sha256:c76c635fabf542bb78524905718c39f736a98e5ab25b23ec6d4abede1a85a6a3"},
-]
-
-[package.dependencies]
-anyio = ">=3.0.0"
-
 [[package]]
 name = "wcwidth"
 version = "0.2.13"
@@ -6613,27 +5550,11 @@ files = [
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
 ]
 
-[[package]]
-name = "websocket-client"
-version = "1.7.0"
-description = "WebSocket client for Python with low level API options"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
-    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
-]
-
-[package.extras]
-docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
-optional = ["python-socks", "wsaccel"]
-test = ["websockets"]
-
 [[package]]
 name = "websockets"
 version = "11.0.3"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "websockets-11.0.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac"},
@@ -7007,21 +5928,6 @@ files = [
 idna = ">=2.0"
 multidict = ">=4.0"
 
-[[package]]
-name = "zipp"
-version = "3.17.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
-
 [extras]
 api-bot = ["fastapi", "pydantic", "requests", "uvicorn"]
 azure = ["pulumi", "pulumi-azure-native"]
diff --git a/reginald/models/models/llama_index.py b/reginald/models/models/llama_index.py
index cc92526f..cfaef138 100644
--- a/reginald/models/models/llama_index.py
+++ b/reginald/models/models/llama_index.py
@@ -12,6 +12,7 @@
 import nest_asyncio
 import pandas as pd
 from git import Repo
+from httpx import HTTPError
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from llama_index.core import (
     Document,
@@ -271,15 +272,21 @@ def _load_handbook(self, gh_token: str) -> None:
         repo = "REG-handbook"
 
         handbook_loader = GithubRepositoryReader(
-            GithubClient(gh_token),
+            GithubClient(gh_token, fail_on_http_error=False),
             owner=owner,
             repo=repo,
             verbose=False,
             concurrent_requests=1,
             timeout=60,
             retries=3,
-            filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE),
-            filter_directories=(["content"], GithubRepositoryReader.FilterType.INCLUDE),
+            filter_file_extensions=(
+                [".md"],
+                GithubRepositoryReader.FilterType.INCLUDE,
+            ),
+            filter_directories=(
+                ["content"],
+                GithubRepositoryReader.FilterType.INCLUDE,
+            ),
         )
         self.documents.extend(handbook_loader.load_data(branch="main"))
 
@@ -298,7 +305,7 @@ def _load_rse_course(self, gh_token: str) -> None:
         repo = "rse-course"
 
         rse_course_loader = GithubRepositoryReader(
-            GithubClient(gh_token),
+            GithubClient(gh_token, fail_on_http_error=False),
             owner=owner,
             repo=repo,
             verbose=False,
@@ -327,7 +334,7 @@ def _load_rds_course(self, gh_token: str) -> None:
         repo = "rds-course"
 
         rds_course_loader = GithubRepositoryReader(
-            GithubClient(gh_token),
+            GithubClient(gh_token, fail_on_http_error=False),
             owner=owner,
             repo=repo,
             verbose=False,
@@ -356,14 +363,17 @@ def _load_turing_way(self, gh_token: str) -> None:
         repo = "the-turing-way"
 
         turing_way_loader = GithubRepositoryReader(
-            GithubClient(gh_token),
+            GithubClient(gh_token, fail_on_http_error=False),
             owner=owner,
             repo=repo,
             verbose=False,
             concurrent_requests=1,
             timeout=60,
             retries=3,
-            filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE),
+            filter_file_extensions=(
+                [".md"],
+                GithubRepositoryReader.FilterType.INCLUDE,
+            ),
         )
         self.documents.extend(turing_way_loader.load_data(branch="main"))
 
@@ -383,7 +393,7 @@ def _load_hut23(self, gh_token: str) -> None:
 
         # load repo
         hut23_repo_loader = GithubRepositoryReader(
-            GithubClient(gh_token),
+            GithubClient(gh_token, fail_on_http_error=False),
             owner=owner,
             repo=repo,
             verbose=False,
@@ -409,19 +419,23 @@ def _load_hut23(self, gh_token: str) -> None:
         )
         self.documents.extend(hut23_repo_loader.load_data(branch="main"))
 
-        # load_issues
-        hut23_issues_loader = GitHubRepositoryIssuesReader(
-            GitHubIssuesClient(gh_token),
-            owner=owner,
-            repo=repo,
-            verbose=True,
-        )
+        try:
+            # load_issues
+            hut23_issues_loader = GitHubRepositoryIssuesReader(
+                GitHubIssuesClient(gh_token),
+                owner=owner,
+                repo=repo,
+                verbose=True,
+            )
+
+            issue_docs = hut23_issues_loader.load_data()
+            for doc in issue_docs:
+                doc.metadata["api_url"] = str(doc.metadata["url"])
+                doc.metadata["url"] = doc.metadata["source"]
+            self.documents.extend(issue_docs)
 
-        issue_docs = hut23_issues_loader.load_data()
-        for doc in issue_docs:
-            doc.metadata["api_url"] = str(doc.metadata["url"])
-            doc.metadata["url"] = doc.metadata["source"]
-        self.documents.extend(issue_docs)
+        except HTTPError as e:
+            logging.error(f"Failed to load Hut23 issues: {e}")
 
         # load collaborators
         # hut23_collaborators_loader = GitHubRepositoryCollaboratorsReader(