diff --git a/poetry.lock b/poetry.lock
index 1054d717..cf6690bb 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,18 +2,18 @@
 
 [[package]]
 name = "accelerate"
-version = "0.29.1"
+version = "0.33.0"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.29.1-py3-none-any.whl", hash = "sha256:7eda0c8bc62bc59129103310f1272a0fb7b3ebc55fc8920cfe1c102db30aca58"},
-    {file = "accelerate-0.29.1.tar.gz", hash = "sha256:d1d0e5a591177891812fd6d1bc843af191e1192c80e5180258f52fefcb653a9f"},
+    {file = "accelerate-0.33.0-py3-none-any.whl", hash = "sha256:0a7f33d60ba09afabd028d4f0856dd19c5a734b7a596d637d9dd6e3d0eadbaf3"},
+    {file = "accelerate-0.33.0.tar.gz", hash = "sha256:11ba481ed6ea09191775df55ce464aeeba67a024bd0261a44b77b30fb439e26a"},
 ]
 
 [package.dependencies]
-huggingface-hub = "*"
-numpy = ">=1.17"
+huggingface-hub = ">=0.21.0"
+numpy = ">=1.17,<2.0.0"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
@@ -21,14 +21,15 @@ safetensors = ">=0.3.1"
 torch = ">=1.10.0"
 
 [package.extras]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+deepspeed = ["deepspeed (<=0.14.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
 [[package]]
 name = "aiofiles"
@@ -41,92 +42,104 @@ files = [
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 ]
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.4"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.4-py3-none-any.whl", hash = "sha256:40a16ceffcf1fc9e142fd488123b2e218abc4188cf12ac20c67200e1579baa42"},
+    {file = "aiohappyeyeballs-2.3.4.tar.gz", hash = "sha256:7e1ae8399c320a8adec76f6c919ed5ceae6edd4c3672f4d9eae2b27e37c80ff6"},
+]
+
 [[package]]
 name = "aiohttp"
-version = "3.9.3"
+version = "3.10.0"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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+]
+
+[package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -135,7 +148,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -178,24 +191,24 @@ doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pyd
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
@@ -314,13 +327,13 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "azure-core"
-version = "1.30.1"
+version = "1.30.2"
 description = "Microsoft Azure Core Library for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "azure-core-1.30.2.tar.gz", hash = "sha256:a14dc210efcd608821aa472d9fb8e8d035d29b68993819147bc290a8ac224472"},
+    {file = "azure_core-1.30.2-py3-none-any.whl", hash = "sha256:cf019c1ca832e96274ae85abd3d9f752397194d9fea3b41487290562ac8abe4a"},
 ]
 
 [package.dependencies]
@@ -333,30 +346,31 @@ aio = ["aiohttp (>=3.0)"]
 
 [[package]]
 name = "azure-identity"
-version = "1.15.0"
+version = "1.17.1"
 description = "Microsoft Azure Identity Library for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "azure-identity-1.17.1.tar.gz", hash = "sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea"},
+    {file = "azure_identity-1.17.1-py3-none-any.whl", hash = "sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382"},
 ]
 
 [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"
-msal-extensions = ">=0.3.0,<2.0.0"
+msal = ">=1.24.0"
+msal-extensions = ">=0.3.0"
+typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "babel"
-version = "2.14.0"
+version = "2.15.0"
 description = "Internationalization utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
 ]
 
 [package.extras]
@@ -430,13 +444,13 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "blinker"
-version = "1.7.0"
+version = "1.8.2"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
 ]
 
 [[package]]
@@ -452,24 +466,24 @@ files = [
 
 [[package]]
 name = "cachetools"
-version = "5.3.3"
+version = "5.4.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "cairocffi"
-version = "1.6.1"
+version = "1.7.1"
 description = "cffi-based cairo bindings for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -477,7 +491,7 @@ cffi = ">=1.1.0"
 
 [package.extras]
 doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["flake8", "isort", "numpy", "pikepdf", "pytest"]
+test = ["numpy", "pikepdf", "pytest", "ruff"]
 xcb = ["xcffib (>=1.4.0)"]
 
 [[package]]
@@ -504,13 +518,13 @@ test = ["flake8", "isort", "pytest"]
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -742,63 +756,63 @@ cron = ["capturer (>=2.4)"]
 
 [[package]]
 name = "coverage"
-version = "7.4.4"
+version = "7.6.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -809,43 +823,43 @@ toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
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 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
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+    {file = "cryptography-42.0.8-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:013629ae70b40af70c9a7a5db40abe5d9054e6f4380e50ce769947b73bf3caad"},
+    {file = "cryptography-42.0.8.tar.gz", hash = "sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2"},
 ]
 
 [package.dependencies]
@@ -882,13 +896,13 @@ test = ["flake8", "isort", "pytest"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.4"
+version = "0.6.7"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.7"
 files = [
-    {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"},
-    {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"},
+    {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
+    {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
 ]
 
 [package.dependencies]
@@ -1076,22 +1090,23 @@ wmi = ["wmi (>=1.5.1)"]
 
 [[package]]
 name = "docker"
-version = "7.0.0"
+version = "7.1.0"
 description = "A Python library for the Docker Engine API."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"},
-    {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"},
+    {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"},
+    {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"},
 ]
 
 [package.dependencies]
-packaging = ">=14.0"
 pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
 requests = ">=2.26.0"
 urllib3 = ">=1.26.0"
 
 [package.extras]
+dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"]
+docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"]
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
@@ -1118,13 +1133,13 @@ files = [
 
 [[package]]
 name = "evaluate"
-version = "0.4.1"
+version = "0.4.2"
 description = "HuggingFace community-driven open-source library of evaluation"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "evaluate-0.4.1-py3-none-any.whl", hash = "sha256:3ff079ab09572c0a2c1e6d749887c19f6783ab993320412cd39f6fe501d28510"},
-    {file = "evaluate-0.4.1.tar.gz", hash = "sha256:d721d9f2059ced79770d8a0509e954fbd1bbac96a8f9160e29888d8073cda3d9"},
+    {file = "evaluate-0.4.2-py3-none-any.whl", hash = "sha256:5fdcaf8a086b075c2b8e2c5898f501224b020b0ac7d07be76536e47e661c0c65"},
+    {file = "evaluate-0.4.2.tar.gz", hash = "sha256:851ab767df8ec4031366c512eb88d8174adfba65d2c8c4c9bfdfe9c702212234"},
 ]
 
 [package.dependencies]
@@ -1137,30 +1152,29 @@ numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
 requests = ">=2.19.0"
-responses = "<0.19"
 tqdm = ">=4.62.1"
 xxhash = "*"
 
 [package.extras]
-dev = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
+dev = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy (>=1.10.0)", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
 docs = ["s3fs"]
 evaluator = ["scipy (>=1.7.1)", "transformers"]
 quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
 template = ["cookiecutter", "gradio (>=3.0.0)"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
+tests = ["Werkzeug (>=1.0.1)", "absl-py", "accelerate", "bert-score (>=0.3.6)", "cer (>=1.2.0)", "charcut (>=1.1.1)", "jiwer", "mauve-text", "nltk", "pytest", "pytest-datadir", "pytest-xdist", "requests-file (>=1.5.1)", "rouge-score (>=0.1.2)", "sacrebleu", "sacremoses", "scikit-learn", "scipy (>=1.10.0)", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1,<=2.10)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "transformers", "trectools", "unidecode (>=1.3.4)"]
 torch = ["torch"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.0"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
-    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
 ]
 
 [package.extras]
@@ -1168,18 +1182,18 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "filelock"
-version = "3.13.3"
+version = "3.15.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.13.3-py3-none-any.whl", hash = "sha256:5ffa845303983e7a0b7ae17636509bc97997d58afeafa72fb141a17b152284cb"},
-    {file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"},
+    {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
+    {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
 ]
 
 [package.extras]
 docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
@@ -1318,13 +1332,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.3.1"
+version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"},
-    {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"},
+    {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
+    {file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
 ]
 
 [package.dependencies]
@@ -1335,7 +1349,8 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
 full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
 fuse = ["fusepy"]
@@ -1352,6 +1367,9 @@ s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
@@ -1405,13 +1423,13 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
 
 [[package]]
 name = "google-api-core"
-version = "2.18.0"
+version = "2.19.1"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-core-2.18.0.tar.gz", hash = "sha256:62d97417bfc674d6cef251e5c4d639a9655e00c45528c4364fbfebb478ce72a9"},
-    {file = "google_api_core-2.18.0-py3-none-any.whl", hash = "sha256:5a63aa102e0049abe85b5b88cb9409234c1f70afcda21ce1e40b285b9629c1d6"},
+    {file = "google-api-core-2.19.1.tar.gz", hash = "sha256:f4695f1e3650b316a795108a76a1c416e6afb036199d1c1f1f110916df479ffd"},
+    {file = "google_api_core-2.19.1-py3-none-any.whl", hash = "sha256:f12a9b8309b5e21d92483bbd47ce2c445861ec7d269ef6784ecc0ea8c1fa6125"},
 ]
 
 [package.dependencies]
@@ -1426,7 +1444,7 @@ grpcio-status = [
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<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"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<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,<6.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
@@ -1454,13 +1472,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.29.0"
+version = "2.32.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.29.0.tar.gz", hash = "sha256:672dff332d073227550ffc7457868ac4218d6c500b155fe6cc17d2b13602c360"},
-    {file = "google_auth-2.29.0-py2.py3-none-any.whl", hash = "sha256:d452ad095688cd52bae0ad6fafe027f6a6d6f560e810fec20914e17a09526415"},
+    {file = "google_auth-2.32.0-py2.py3-none-any.whl", hash = "sha256:53326ea2ebec768070a94bee4e1b9194c9646ea0c2bd72422785bd0f9abfad7b"},
+    {file = "google_auth-2.32.0.tar.gz", hash = "sha256:49315be72c55a6a37d62819e3573f6b416aca00721f7e3e31a008d928bf64022"},
 ]
 
 [package.dependencies]
@@ -1492,13 +1510,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-auth-oauthlib"
-version = "1.2.0"
+version = "1.2.1"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "google-auth-oauthlib-1.2.0.tar.gz", hash = "sha256:292d2d3783349f2b0734a0a0207b1e1e322ac193c2c09d8f7c613fb7cc501ea8"},
-    {file = "google_auth_oauthlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:297c1ce4cb13a99b5834c74a1fe03252e1e499716718b190f56bcb9c4abc4faf"},
+    {file = "google_auth_oauthlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:2d58a27262d55aa1b87678c3ba7142a080098cbc2024f903c62355deb235d91f"},
+    {file = "google_auth_oauthlib-1.2.1.tar.gz", hash = "sha256:afd0cad092a2eaa53cd8e8298557d6de1034c6cb4a740500b5357b648af97263"},
 ]
 
 [package.dependencies]
@@ -1510,13 +1528,13 @@ tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.47.0"
+version = "1.60.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.47.0.tar.gz", hash = "sha256:1c4537db09b83957bf0623fd2afb37e339f89a3afcda3efce9dce79b16ab59c7"},
-    {file = "google_cloud_aiplatform-1.47.0-py2.py3-none-any.whl", hash = "sha256:454ef0c44ecaeadcffe58f565acfce49e53895fd51bb20da8af0d48202a4cb21"},
+    {file = "google-cloud-aiplatform-1.60.0.tar.gz", hash = "sha256:782c7f1ec0e77a7c7daabef3b65bfd506ed2b4b1dc2186753c43cd6faf8dd04e"},
+    {file = "google_cloud_aiplatform-1.60.0-py2.py3-none-any.whl", hash = "sha256:5f14159c9575f4b46335027e3ceb8fa57bd5eaa76a07f858105b8c6c034ec0d6"},
 ]
 
 [package.dependencies]
@@ -1527,7 +1545,7 @@ google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0dev"
 google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
 google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
-proto-plus = ">=1.22.0,<2.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<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,<5.0.0dev"
 pydantic = "<3"
 shapely = "<3.0.0dev"
@@ -1537,32 +1555,34 @@ autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
 cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-full = ["cloudpickle (<3.0)", "cloudpickle (>=2.2.1,<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pydantic (<3)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
-langchain = ["langchain (>=0.1.13,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<0.2)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "tenacity (<=8.3)"]
+langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
-pipelines = ["pyyaml (==5.3.1)"]
-prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
+pipelines = ["pyyaml (>=5.3.1,<7)"]
+prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.109.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
 preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
-rapid-evaluation = ["nest-asyncio (>=1.0.0,<1.6.0)", "pandas (>=1.0.0,<2.2.0)"]
-ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)"]
-ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "scikit-learn", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
-reasoningengine = ["cloudpickle (>=2.2.1,<3.0)", "pydantic (<3)"]
-tensorboard = ["tensorflow (>=2.3.0,<2.15.0)"]
-testing = ["bigframes", "cloudpickle (<3.0)", "cloudpickle (>=2.2.1,<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pydantic (<3)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
+rapid-evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"]
+ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "setuptools (<70.0.0)"]
+ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
+reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
+tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
+tokenization = ["sentencepiece (>=0.2.0)"]
 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.20.1"
+version = "3.25.0"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-3.20.1.tar.gz", hash = "sha256:318aa3abab5f1900ee24f63ba8bd02b9cdafaa942d738b4dc14a4ef2cc2d925f"},
-    {file = "google_cloud_bigquery-3.20.1-py2.py3-none-any.whl", hash = "sha256:d3e62fe61138c658b8853c402e2d8fb9346c84e602e21e3a26584be10fc5b0a4"},
+    {file = "google-cloud-bigquery-3.25.0.tar.gz", hash = "sha256:5b2aff3205a854481117436836ae1403f11f2594e6810a98886afd57eda28509"},
+    {file = "google_cloud_bigquery-3.25.0-py2.py3-none-any.whl", hash = "sha256:7f0c371bc74d2a7fb74dacbc00ac0f90c8c2bec2289b51dd6685a275873b1ce9"},
 ]
 
 [package.dependencies]
@@ -1605,13 +1625,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.3"
+version = "1.12.5"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-resource-manager-1.12.3.tar.gz", hash = "sha256:809851824119834e4f2310b2c4f38621c1d16b2bb14d5b9f132e69c79d355e7f"},
-    {file = "google_cloud_resource_manager-1.12.3-py2.py3-none-any.whl", hash = "sha256:92be7d6959927b76d90eafc4028985c37975a46ded5466a018f02e8649e113d4"},
+    {file = "google_cloud_resource_manager-1.12.5-py2.py3-none-any.whl", hash = "sha256:2708a718b45c79464b7b21559c701b5c92e6b0b1ab2146d0a256277a623dc175"},
+    {file = "google_cloud_resource_manager-1.12.5.tar.gz", hash = "sha256:b7af4254401ed4efa3aba3a929cb3ddb803fa6baf91a78485e45583597de5891"},
 ]
 
 [package.dependencies]
@@ -1619,17 +1639,17 @@ google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extr
 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<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,<5.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<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,<6.0.0dev"
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.16.0"
+version = "2.18.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-storage-2.16.0.tar.gz", hash = "sha256:dda485fa503710a828d01246bd16ce9db0823dc51bbca742ce96a6817d58669f"},
-    {file = "google_cloud_storage-2.16.0-py2.py3-none-any.whl", hash = "sha256:91a06b96fb79cf9cdfb4e759f178ce11ea885c79938f89590344d079305f5852"},
+    {file = "google_cloud_storage-2.18.0-py2.py3-none-any.whl", hash = "sha256:e8e1a9577952143c3fca8163005ecfadd2d70ec080fa158a8b305000e2c22fbb"},
+    {file = "google_cloud_storage-2.18.0.tar.gz", hash = "sha256:0aa3f7c57f3632f81b455d91558d2b27ada96eee2de3aaa17f689db1470d9578"},
 ]
 
 [package.dependencies]
@@ -1641,7 +1661,8 @@ google-resumable-media = ">=2.6.0"
 requests = ">=2.18.0,<3.0.0dev"
 
 [package.extras]
-protobuf = ["protobuf (<5.0.0dev)"]
+protobuf = ["protobuf (<6.0.0dev)"]
+tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
 name = "google-crc32c"
@@ -1725,13 +1746,13 @@ testing = ["pytest"]
 
 [[package]]
 name = "google-resumable-media"
-version = "2.7.0"
+version = "2.7.1"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">=3.7"
 files = [
-    {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
-    {file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"},
+    {file = "google-resumable-media-2.7.1.tar.gz", hash = "sha256:eae451a7b2e2cdbaaa0fd2eb00cc8a1ee5e95e16b55597359cbc3d27d7d90e33"},
+    {file = "google_resumable_media-2.7.1-py2.py3-none-any.whl", hash = "sha256:103ebc4ba331ab1bfdac0250f8033627a2cd7cde09e7ccff9181e31ba4315b2c"},
 ]
 
 [package.dependencies]
@@ -1743,18 +1764,18 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.63.0"
+version = "1.63.2"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
-    {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
+    {file = "googleapis-common-protos-1.63.2.tar.gz", hash = "sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87"},
+    {file = "googleapis_common_protos-1.63.2-py2.py3-none-any.whl", hash = "sha256:27a2499c7e8aff199665b22741997e485eccc8645aa9176c7c988e6fae507945"},
 ]
 
 [package.dependencies]
 grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""}
-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"
+protobuf = ">=3.20.2,<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,<6.0.0.dev0"
 
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
@@ -1832,100 +1853,92 @@ test = ["objgraph", "psutil"]
 
 [[package]]
 name = "grpc-google-iam-v1"
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+    {file = "grpcio-1.65.2-cp39-cp39-linux_armv7l.whl", hash = "sha256:06a7ea12a81e5e2fb17528556c7f828b90bd2aec3a645f5cd5f35f80aa59ac6a"},
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+    {file = "grpcio-1.65.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:892f03939df46d0bfcf89fe1dbcc8818f93ad6f3377587e8db6c2b1f598736c2"},
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+    {file = "grpcio-1.65.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3a3139414399078560a84203f9fe3592483d902a2af84062c571be6191143a9f"},
+    {file = "grpcio-1.65.2-cp39-cp39-win32.whl", hash = "sha256:8d6fd1206433428d0a4ba771eac70579b41a265fe835a4d8a5214c7235e69926"},
+    {file = "grpcio-1.65.2-cp39-cp39-win_amd64.whl", hash = "sha256:478725160e2cfc1bfa5ab3e7bb7c896cc182c8f57255d780007cfd6fb46e97b5"},
+    {file = "grpcio-1.65.2.tar.gz", hash = "sha256:e2c9bbb84d5517f2bccdb1836b8ee267a1757acb3cb3e575065c103220b577ac"},
+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.65.2)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.62.1"
+version = "1.62.2"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "grpcio-status-1.62.1.tar.gz", hash = "sha256:3431c8abbab0054912c41df5c72f03ddf3b7a67be8a287bb3c18a3456f96ff77"},
-    {file = "grpcio_status-1.62.1-py3-none-any.whl", hash = "sha256:af0c3ab85da31669f21749e8d53d669c061ebc6ce5637be49a46edcb7aa8ab17"},
+    {file = "grpcio-status-1.62.2.tar.gz", hash = "sha256:62e1bfcb02025a1cd73732a2d33672d3e9d0df4d21c12c51e0bbcaf09bab742a"},
+    {file = "grpcio_status-1.62.2-py3-none-any.whl", hash = "sha256:206ddf0eb36bc99b033f03b2c8e95d319f0044defae9b41ae21408e7e0cda48f"},
 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.62.1"
+grpcio = ">=1.62.2"
 protobuf = ">=4.21.6"
 
 [[package]]
@@ -2017,13 +2030,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.22.2"
+version = "0.24.5"
 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 = [
-    {file = "huggingface_hub-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"},
-    {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"},
+    {file = "huggingface_hub-0.24.5-py3-none-any.whl", hash = "sha256:d93fb63b1f1a919a22ce91a14518974e81fc4610bf344dfe7572343ce8d3aced"},
+    {file = "huggingface_hub-0.24.5.tar.gz", hash = "sha256:7b45d6744dd53ce9cbf9880957de00e9d10a9ae837f1c9b7255fc8fa4e8264f3"},
 ]
 
 [package.dependencies]
@@ -2038,17 +2051,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors", "torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -2067,13 +2080,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "identify"
-version = "2.5.35"
+version = "2.6.0"
 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-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"},
+    {file = "identify-2.6.0.tar.gz", hash = "sha256:cb171c685bdc31bcc4c1734698736a7d5b6c8bf2e0c15117f4d469c8640ae5cf"},
 ]
 
 [package.extras]
@@ -2081,24 +2094,24 @@ 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 = "imap-tools"
-version = "1.6.0"
+version = "1.7.1"
 description = "Work with email by IMAP"
 optional = false
 python-versions = "*"
 files = [
-    {file = "imap-tools-1.6.0.tar.gz", hash = "sha256:1fc97a06a35e18a6d0e775d40b18198f52dae0fa46ee8b6fc6f82dbc7a701699"},
-    {file = "imap_tools-1.6.0-py3-none-any.whl", hash = "sha256:6f6a354a6bb95ab83a24d3321d1a8b62b299ba76ba5774e9f45f0ad2544f093b"},
+    {file = "imap-tools-1.7.1.tar.gz", hash = "sha256:fa133d62164c325a14d7e9060a9ce5154caff8e04b0303b5a91abc9357987a3a"},
+    {file = "imap_tools-1.7.1-py3-none-any.whl", hash = "sha256:585a363b394c2bb8df48173bba9f834451d45c218fe51e57740d0e0ca54d8859"},
 ]
 
 [[package]]
@@ -2147,13 +2160,13 @@ six = "*"
 
 [[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]
@@ -2164,24 +2177,24 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.4.0"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "joblib-1.4.0-py3-none-any.whl", hash = "sha256:42942470d4062537be4d54c83511186da1fc14ba354961a2114da91efa9a4ed7"},
-    {file = "joblib-1.4.0.tar.gz", hash = "sha256:1eb0dc091919cd384490de890cb5dfd538410a6d4b3b54eef09fb8c50b409b1c"},
+    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
+    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.21.1"
+version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 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-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
+    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
 ]
 
 [package.dependencies]
@@ -2192,23 +2205,23 @@ rpds-py = ">=0.7.1"
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"]
 
 [[package]]
 name = "jsonschema-path"
-version = "0.3.2"
+version = "0.3.3"
 description = "JSONSchema Spec with object-oriented paths"
 optional = false
-python-versions = ">=3.8.0,<4.0.0"
+python-versions = "<4.0.0,>=3.8.0"
 files = [
-    {file = "jsonschema_path-0.3.2-py3-none-any.whl", hash = "sha256:271aedfefcd161a0f467bdf23e1d9183691a61eaabf4b761046a914e369336c7"},
-    {file = "jsonschema_path-0.3.2.tar.gz", hash = "sha256:4d0dababf341e36e9b91a5fb2a3e3fd300b0150e7fe88df4e55cc8253c5a3989"},
+    {file = "jsonschema_path-0.3.3-py3-none-any.whl", hash = "sha256:203aff257f8038cd3c67be614fe6b2001043408cb1b4e36576bc4921e09d83c4"},
+    {file = "jsonschema_path-0.3.3.tar.gz", hash = "sha256:f02e5481a4288ec062f8e68c808569e427d905bedfecb7f2e4c69ef77957c382"},
 ]
 
 [package.dependencies]
 pathable = ">=0.4.1,<0.5.0"
 PyYAML = ">=5.1"
-referencing = ">=0.28.0,<0.32.0"
+referencing = ">=0.28.0,<0.36.0"
 requests = ">=2.31.0,<3.0.0"
 
 [[package]]
@@ -2303,13 +2316,13 @@ files = [
 
 [[package]]
 name = "litellm"
-version = "1.35.16"
+version = "1.42.8"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
-    {file = "litellm-1.35.16-py3-none-any.whl", hash = "sha256:04a70b6fd51e721ccc89468f565486527dcfd9cb6261fbdd4b00587dbe3a2df1"},
-    {file = "litellm-1.35.16.tar.gz", hash = "sha256:17c5a8cbd52074c8a509c9874e7e4bf1366260e15d5f9b2af4fa200bc5d0896c"},
+    {file = "litellm-1.42.8-py3-none-any.whl", hash = "sha256:62116d62a4ef680e2f62b5e02db11b03758d7e070574cf8daf15cfd009467f3e"},
+    {file = "litellm-1.42.8.tar.gz", hash = "sha256:6c59260662ead2f67a051466c291b9c7ad32f513784de916a351b6eae2a9e3cd"},
 ]
 
 [package.dependencies]
@@ -2317,15 +2330,17 @@ aiohttp = "*"
 click = "*"
 importlib-metadata = ">=6.8.0"
 jinja2 = ">=3.1.2,<4.0.0"
-openai = ">=1.0.0"
+jsonschema = ">=4.22.0,<5.0.0"
+openai = ">=1.27.0"
+pydantic = ">=2.0.0,<3.0.0"
 python-dotenv = ">=0.2.0"
 requests = ">=2.31.0,<3.0.0"
-tiktoken = ">=0.4.0"
+tiktoken = ">=0.7.0"
 tokenizers = "*"
 
 [package.extras]
-extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
-proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.109.1,<0.110.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=21.2.0,<22.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "pynacl (>=1.5.0,<2.0.0)", "resend (>=0.8.0,<0.9.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "llama-index-core"
@@ -2365,13 +2380,13 @@ wrapt = "*"
 
 [[package]]
 name = "llama-index-embeddings-azure-openai"
-version = "0.1.6"
+version = "0.1.11"
 description = "llama-index embeddings azure openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_embeddings_azure_openai-0.1.6-py3-none-any.whl", hash = "sha256:a84a6d7d67296690e5d20070ce5d9920ec56b0d339338d276eae2a7b2f822b9e"},
-    {file = "llama_index_embeddings_azure_openai-0.1.6.tar.gz", hash = "sha256:05092b1b31bd0f45257d161f1e5a17261c60e688f4c6a4fe316557349ac2aebc"},
+    {file = "llama_index_embeddings_azure_openai-0.1.11-py3-none-any.whl", hash = "sha256:afefe55ee69934528c569ddf71fb1e9ddf2992b6c344c4c9d72a03fa8c33cf40"},
+    {file = "llama_index_embeddings_azure_openai-0.1.11.tar.gz", hash = "sha256:40a4fd9a31ba74f071739d6c8405187b66e7f584ae2f64a30316c6c7b6a25325"},
 ]
 
 [package.dependencies]
@@ -2414,13 +2429,13 @@ optimum = {version = ">=1.16.2,<2.0.0", extras = ["exporters"]}
 
 [[package]]
 name = "llama-index-embeddings-openai"
-version = "0.1.7"
+version = "0.1.11"
 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-0.1.7-py3-none-any.whl", hash = "sha256:6023925ed1487b0688323d21711efbf8880e82ed3b87ef413255c3dc63a2f2fe"},
-    {file = "llama_index_embeddings_openai-0.1.7.tar.gz", hash = "sha256:c71cc9820680c4cedfc9845dc87b94f6851d1ccce1e486fc91298f8fa8d9f27d"},
+    {file = "llama_index_embeddings_openai-0.1.11-py3-none-any.whl", hash = "sha256:e20806fc4baff6b8f5274decf2c1ca7c5c737648e01865475ffada164e32e173"},
+    {file = "llama_index_embeddings_openai-0.1.11.tar.gz", hash = "sha256:6025e229e375201788a9b14d6ebe470329907576cba5f6b7b832c3d68f39db30"},
 ]
 
 [package.dependencies]
@@ -2428,13 +2443,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-azure-openai"
-version = "0.1.5"
+version = "0.1.10"
 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-0.1.10-py3-none-any.whl", hash = "sha256:8666b095118ed9c5087dc2d91a83a826d4549ea4d442b9eef363e243207d3539"},
+    {file = "llama_index_llms_azure_openai-0.1.10.tar.gz", hash = "sha256:f1624c9bd7bf4458e98cca6f3b805eec06105fa951536ff24b098d913d2368bd"},
 ]
 
 [package.dependencies]
@@ -2460,13 +2475,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.14"
+version = "0.1.26"
 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-0.1.26-py3-none-any.whl", hash = "sha256:1ad8e4eb02f9410c2091749d4d9aa9db4452646b595eb5eb937edbc496fb65fe"},
+    {file = "llama_index_llms_openai-0.1.26.tar.gz", hash = "sha256:08a408cd53af4cd4623dd5807be4cbbd5e5b3ca01272128cd678d667343e4d5d"},
 ]
 
 [package.dependencies]
@@ -2490,31 +2505,33 @@ transformers = ">=4.37.2,<5.0.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.15"
+version = "0.1.32"
 description = "llama-index readers file integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_readers_file-0.1.15-py3-none-any.whl", hash = "sha256:f0d26a46d4c40334729d4506d9fbdbed8f5e187e36e22159fb48b28d67c7f240"},
-    {file = "llama_index_readers_file-0.1.15.tar.gz", hash = "sha256:98087d983a1f2d26961805217f13d24b0f23cbbe8e32d2327ae86b1ee668d3b2"},
+    {file = "llama_index_readers_file-0.1.32-py3-none-any.whl", hash = "sha256:699d6f80c5c922321b6202b565c7cc22ab9e27a2d1c6df1e42550089ccd25290"},
+    {file = "llama_index_readers_file-0.1.32.tar.gz", hash = "sha256:80a2a2aeefba7deae289dfd4aaec6e8ab8ee331820bcdd1db821d1879bd21515"},
 ]
 
 [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"
+llama-index-core = ">=0.10.37.post1,<0.11.0"
 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-retrievers-bm25"
-version = "0.1.3"
+version = "0.1.5"
 description = "llama-index retrievers bm25 integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_retrievers_bm25-0.1.3-py3-none-any.whl", hash = "sha256:40bb8624000abfef7ee5d1689330b408181ca793d6bfe141cd3310adc1d23b1a"},
-    {file = "llama_index_retrievers_bm25-0.1.3.tar.gz", hash = "sha256:d996c731a74b9866ba47827430011ca7fa84f633d8f25c9bb8aaed3767937425"},
+    {file = "llama_index_retrievers_bm25-0.1.5-py3-none-any.whl", hash = "sha256:0ee769c1fdfe9c8be380c6b289b4879a50dbe7667fc8ce5ab9919623d5d787b1"},
+    {file = "llama_index_retrievers_bm25-0.1.5.tar.gz", hash = "sha256:95446323036521d68b0cefda6d8e1cc2393ae9af14c7baa3ed611d4309d5d3b8"},
 ]
 
 [package.dependencies]
@@ -2538,13 +2555,13 @@ pydantic = ">=1.10"
 
 [[package]]
 name = "mako"
-version = "1.3.2"
+version = "1.3.5"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "Mako-1.3.2-py3-none-any.whl", hash = "sha256:32a99d70754dfce237019d17ffe4a282d2d3351b9c476e90d8a60e63f133b80c"},
-    {file = "Mako-1.3.2.tar.gz", hash = "sha256:2a0c8ad7f6274271b3bb7467dd37cf9cc6dab4bc19cb69a4ef10669402de698e"},
+    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
+    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
 ]
 
 [package.dependencies]
@@ -2665,13 +2682,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.1"
+version = "3.21.3"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "marshmallow-3.21.1-py3-none-any.whl", hash = "sha256:f085493f79efb0644f270a9bf2892843142d80d7174bbbd2f3713f2a589dc633"},
-    {file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"},
+    {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
+    {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
 ]
 
 [package.dependencies]
@@ -2679,7 +2696,7 @@ 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]]
@@ -2706,13 +2723,13 @@ files = [
 
 [[package]]
 name = "microsoftgraph-python"
-version = "1.1.8"
+version = "1.1.8.1"
 description = "API wrapper for Microsoft Graph written in Python"
 optional = false
 python-versions = "<4.0,>=3.7"
 files = [
-    {file = "microsoftgraph_python-1.1.8-py3-none-any.whl", hash = "sha256:7274c8a187760c6b72f1155a4a42e008728107a7ef51a13071fde719a772b942"},
-    {file = "microsoftgraph_python-1.1.8.tar.gz", hash = "sha256:098fd62519fbb7c07ffd09a7afd8795a3173b32c15efbd875d49f57797ee00d4"},
+    {file = "microsoftgraph_python-1.1.8.1-py3-none-any.whl", hash = "sha256:ee3fab7b986b403ef3da60b07be445ed76a86ad46c46c73a39bae44507531a0f"},
+    {file = "microsoftgraph_python-1.1.8.1.tar.gz", hash = "sha256:8b918a23832f96ec9ea2449501d79a29b3ea06d0a59ea4886541eca23c60351e"},
 ]
 
 [package.dependencies]
@@ -2720,19 +2737,19 @@ requests = ">=2.26.0,<3.0.0"
 
 [[package]]
 name = "minijinja"
-version = "1.0.16"
+version = "2.0.1"
 description = "An experimental Python binding of the Rust MiniJinja template engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "minijinja-1.0.16-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:b7c1640d23ad719da999ab434fd58e895125e067d310d512c9a45ec7e7f301dc"},
-    {file = "minijinja-1.0.16-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f83ca4a37d73b57b87cee4d50f7ce2ade2d6c04fbede49faabc37f7244161bd6"},
-    {file = "minijinja-1.0.16-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:87c61c94c014c3a6d2ef83ee2f67229ee23b13b3586c8d4d3a7d090ba19f1b6c"},
-    {file = "minijinja-1.0.16-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:beeb7fd7552e351b071b1d01fa80600a332b364c83f0f4a5c96b96d74d162434"},
-    {file = "minijinja-1.0.16-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:38cc378dd256bd3766f1c83754c9a4407356b6d992defc725eab8a7c203e07b9"},
-    {file = "minijinja-1.0.16-cp38-abi3-win32.whl", hash = "sha256:f7f0da6c0d2b78bce9aa0f2bbfebc0ece18cdf8dae9430b4001055b8eb77911c"},
-    {file = "minijinja-1.0.16-cp38-abi3-win_amd64.whl", hash = "sha256:0a41541c28fd7ce64b38ddc60974930f81c163440c348393bd5143debeb309b3"},
-    {file = "minijinja-1.0.16.tar.gz", hash = "sha256:57f6e98bc735794eb87648f251e68fbfd9cf50333f6a4053b398751483350826"},
+    {file = "minijinja-2.0.1-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:063b291cb31f5c33eb77bb4cb457f67f14426ca1418232b8ae9f267155d330cc"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a4e9d639dd89ce7fef86e82147082ab3c248a36950fa3fbe793685ba322c1b7"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a20373af4ee5430356c196c7fe5f19e3261a4fa16c944542b4de7a2349bac7a6"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ade637bf4826258811a785ccc4e5d41cd2bdf4ec317b1ed3daa4dbbdd020f37d"},
+    {file = "minijinja-2.0.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d5ec956d777e0fee8e214af48363334c04f098e986038a9e8cb92a0564f81943"},
+    {file = "minijinja-2.0.1-cp38-abi3-win32.whl", hash = "sha256:039f4d1a1a73f90917cff1ed7c617eb56e2b2f91bbbdc551adaa448e1673e5c2"},
+    {file = "minijinja-2.0.1-cp38-abi3-win_amd64.whl", hash = "sha256:dca5d7689905dce340e36e47348b505c788daf297253b85a1aff506ea63ad1b8"},
+    {file = "minijinja-2.0.1.tar.gz", hash = "sha256:e774beffebfb8a1ad17e638ef70917cf5e94593f79acb8a8fff7d983169f3a4e"},
 ]
 
 [[package]]
@@ -2752,13 +2769,13 @@ markdown = "*"
 
 [[package]]
 name = "mkdocs"
-version = "1.5.3"
+version = "1.6.0"
 description = "Project documentation with Markdown."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "mkdocs-1.5.3-py3-none-any.whl", hash = "sha256:3b3a78e736b31158d64dbb2f8ba29bd46a379d0c6e324c2246c3bc3d2189cfc1"},
-    {file = "mkdocs-1.5.3.tar.gz", hash = "sha256:eb7c99214dcb945313ba30426c2451b735992c73c2e10838f76d09e39ff4d0e2"},
+    {file = "mkdocs-1.6.0-py3-none-any.whl", hash = "sha256:1eb5cb7676b7d89323e62b56235010216319217d4af5ddc543a91beb8d125ea7"},
+    {file = "mkdocs-1.6.0.tar.gz", hash = "sha256:a73f735824ef83a4f3bcb7a231dcab23f5a838f88b7efc54a0eef5fbdbc3c512"},
 ]
 
 [package.dependencies]
@@ -2766,29 +2783,29 @@ click = ">=7.0"
 colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
 ghp-import = ">=1.0"
 jinja2 = ">=2.11.1"
-markdown = ">=3.2.1"
+markdown = ">=3.3.6"
 markupsafe = ">=2.0.1"
 mergedeep = ">=1.3.4"
+mkdocs-get-deps = ">=0.2.0"
 packaging = ">=20.5"
 pathspec = ">=0.11.1"
-platformdirs = ">=2.2.0"
 pyyaml = ">=5.1"
 pyyaml-env-tag = ">=0.1"
 watchdog = ">=2.0"
 
 [package.extras]
 i18n = ["babel (>=2.9.0)"]
-min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pathspec (==0.11.1)", "platformdirs (==2.2.0)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.4)", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
 
 [[package]]
 name = "mkdocs-awesome-pages-plugin"
-version = "2.9.2"
+version = "2.9.3"
 description = "An MkDocs plugin that simplifies configuring page titles and their order"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8.1"
 files = [
-    {file = "mkdocs_awesome_pages_plugin-2.9.2-py3-none-any.whl", hash = "sha256:9c795587695bd1ee85a8b7e43293005418df5a8b9ef296a3e628be427b693b4d"},
-    {file = "mkdocs_awesome_pages_plugin-2.9.2.tar.gz", hash = "sha256:c3f7d366ecfe99b64524c49a84d8e13c576c19a918ea2e6f59bb486a259313af"},
+    {file = "mkdocs_awesome_pages_plugin-2.9.3-py3-none-any.whl", hash = "sha256:1ba433d4e7edaf8661b15b93267f78f78e2e06ca590fc0e651ea36b191d64ae4"},
+    {file = "mkdocs_awesome_pages_plugin-2.9.3.tar.gz", hash = "sha256:bdf6369871f41bb17f09c3cfb573367732dfcceb5673d7a2c5c76ac2567b242f"},
 ]
 
 [package.dependencies]
@@ -2810,15 +2827,31 @@ files = [
 [package.dependencies]
 mkdocs = ">=1.0.3"
 
+[[package]]
+name = "mkdocs-get-deps"
+version = "0.2.0"
+description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"},
+    {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"},
+]
+
+[package.dependencies]
+mergedeep = ">=1.3.4"
+platformdirs = ">=2.2.0"
+pyyaml = ">=5.1"
+
 [[package]]
 name = "mkdocs-material"
-version = "9.5.17"
+version = "9.5.30"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material-9.5.17-py3-none-any.whl", hash = "sha256:14a2a60119a785e70e765dd033e6211367aca9fc70230e577c1cf6a326949571"},
-    {file = "mkdocs_material-9.5.17.tar.gz", hash = "sha256:06ae1275a72db1989cf6209de9e9ecdfbcfdbc24c58353877b2bb927dbe413e4"},
+    {file = "mkdocs_material-9.5.30-py3-none-any.whl", hash = "sha256:fc070689c5250a180e9b9d79d8491ef9a3a7acb240db0728728d6c31eeb131d4"},
+    {file = "mkdocs_material-9.5.30.tar.gz", hash = "sha256:3fd417dd42d679e3ba08b9e2d72cd8b8af142cc4a3969676ad6b00993dd182ec"},
 ]
 
 [package.dependencies]
@@ -2826,7 +2859,7 @@ babel = ">=2.10,<3.0"
 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
-mkdocs = ">=1.5.3,<1.6.0"
+mkdocs = ">=1.6,<2.0"
 mkdocs-material-extensions = ">=1.3,<2.0"
 paginate = ">=0.5,<1.0"
 pygments = ">=2.16,<3.0"
@@ -2852,24 +2885,24 @@ files = [
 
 [[package]]
 name = "more-itertools"
-version = "10.2.0"
+version = "10.3.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "more-itertools-10.2.0.tar.gz", hash = "sha256:8fccb480c43d3e99a00087634c06dd02b0d50fbf088b380de5a41a015ec239e1"},
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 ]
 
 [[package]]
 name = "motor"
-version = "3.4.0"
+version = "3.5.1"
 description = "Non-blocking MongoDB driver for Tornado or asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2877,12 +2910,12 @@ pymongo = ">=4.5,<5"
 
 [package.extras]
 aws = ["pymongo[aws] (>=4.5,<5)"]
+docs = ["aiohttp", "readthedocs-sphinx-search (>=0.3,<1.0)", "sphinx (>=5.3,<8)", "sphinx-rtd-theme (>=2,<3)", "tornado"]
 encryption = ["pymongo[encryption] (>=4.5,<5)"]
 gssapi = ["pymongo[gssapi] (>=4.5,<5)"]
 ocsp = ["pymongo[ocsp] (>=4.5,<5)"]
 snappy = ["pymongo[snappy] (>=4.5,<5)"]
-srv = ["pymongo[srv] (>=4.5,<5)"]
-test = ["aiohttp (!=3.8.6)", "mockupdb", "motor[encryption]", "pytest (>=7)", "tornado (>=5)"]
+test = ["aiohttp (!=3.8.6)", "mockupdb", "pymongo[encryption] (>=4.5,<5)", "pytest (>=7)", "tornado (>=5)"]
 zstd = ["pymongo[zstd] (>=4.5,<5)"]
 
 [[package]]
@@ -2904,41 +2937,37 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msal"
-version = "1.28.0"
+version = "1.30.0"
 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 = ">=3.7"
 files = [
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+    {file = "msal-1.30.0.tar.gz", hash = "sha256:b4bf00850092e465157d814efa24a18f788284c9a479491024d62903085ea2fb"},
 ]
 
 [package.dependencies]
-cryptography = ">=0.6,<45"
+cryptography = ">=2.5,<45"
 PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.13.2,<0.15)"]
+broker = ["pymsalruntime (>=0.13.2,<0.17)"]
 
 [[package]]
 name = "msal-extensions"
-version = "1.1.0"
+version = "1.2.0"
 description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "msal_extensions-1.2.0.tar.gz", hash = "sha256:6f41b320bfd2933d631a215c91ca0dd3e67d84bd1a2f50ce917d5874ec646bef"},
 ]
 
 [package.dependencies]
-msal = ">=0.4.1,<2.0.0"
-packaging = "*"
-portalocker = [
-    {version = ">=1.0,<3", markers = "platform_system != \"Windows\""},
-    {version = ">=1.6,<3", markers = "platform_system == \"Windows\""},
-]
+msal = ">=1.29,<2"
+portalocker = ">=1.4,<3"
 
 [[package]]
 name = "multidict"
@@ -3149,18 +3178,15 @@ twitter = ["twython"]
 
 [[package]]
 name = "nodeenv"
-version = "1.8.0"
+version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
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+    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -3327,13 +3353,13 @@ files = [
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.4.127"
+version = "12.6.20"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
@@ -3365,42 +3391,37 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "onnx"
-version = "1.16.0"
+version = "1.16.2"
 description = "Open Neural Network Exchange"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3408,59 +3429,59 @@ numpy = ">=1.20"
 protobuf = ">=3.20.2"
 
 [package.extras]
-reference = ["Pillow", "google-re2"]
+reference = ["google-re2", "pillow"]
 
 [[package]]
 name = "onnxruntime"
-version = "1.17.1"
+version = "1.18.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
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 [package.dependencies]
 coloredlogs = "*"
 flatbuffers = "*"
-numpy = ">=1.21.6"
+numpy = ">=1.21.6,<2.0"
 packaging = "*"
 protobuf = "*"
 sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.16.2"
+version = "1.37.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -4059,27 +4080,27 @@ files = [
 
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 name = "optimum"
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+version = "1.21.2"
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 optional = false
 python-versions = ">=3.7.0"
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 [package.dependencies]
 coloredlogs = "*"
 datasets = "*"
 huggingface-hub = ">=0.8.0"
-numpy = "*"
+numpy = "<2.0"
 onnx = {version = "*", optional = true, markers = "extra == \"exporters\""}
 onnxruntime = {version = "*", optional = true, markers = "extra == \"exporters\""}
 packaging = "*"
 sympy = "*"
 timm = {version = "*", optional = true, markers = "extra == \"exporters\""}
 torch = ">=1.11"
-transformers = {version = ">=4.26.0,<4.40.0", extras = ["sentencepiece"]}
+transformers = {version = ">=4.26.0,<4.43.0", extras = ["sentencepiece"]}
 
 [package.extras]
 amd = ["optimum-amd"]
@@ -4092,27 +4113,28 @@ exporters-gpu = ["onnx", "onnxruntime-gpu", "timm"]
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-intel = ["optimum-intel (>=1.15.0)"]
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-neuron = ["optimum-neuron[neuron]"]
-neuronx = ["optimum-neuron[neuronx]"]
-nncf = ["optimum-intel[nncf] (>=1.15.0)"]
+habana = ["optimum-habana", "transformers (>=4.40.0,<4.41.0)"]
+intel = ["optimum-intel (>=1.18.0)"]
+ipex = ["optimum-intel[ipex] (>=1.18.0)"]
+neural-compressor = ["optimum-intel[neural-compressor] (>=1.18.0)"]
+neuron = ["optimum-neuron[neuron] (>=0.0.20)", "transformers (>=4.36.2,<4.42.0)"]
+neuronx = ["optimum-neuron[neuronx] (>=0.0.20)", "transformers (>=4.36.2,<4.42.0)"]
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 onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.11.0)", "protobuf (>=3.20.1)"]
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-openvino = ["optimum-intel[openvino] (>=1.15.0)"]
+openvino = ["optimum-intel[openvino] (>=1.18.0)"]
 quality = ["black (>=23.1,<24.0)", "ruff (==0.1.5)"]
 tests = ["Pillow", "accelerate", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest (<=8.0.0)", "pytest-xdist", "requests", "rjieba", "sacremoses", "scikit-learn", "timm", "torchaudio", "torchvision"]
 
 [[package]]
 name = "packaging"
-version = "23.2"
+version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [[package]]
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+version = "2.2.2"
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 optional = false
 python-versions = ">=3.9"
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+
+[package.extras]
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 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -4349,28 +4382,29 @@ 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 = "4.2.2"
+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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 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 = "pluggy"
-version = "1.4.0"
+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -4397,13 +4431,13 @@ poetry-plugin = ["poetry (>=1.0,<2.0)"]
 
 [[package]]
 name = "portalocker"
-version = "2.8.2"
+version = "2.10.1"
 description = "Wraps the portalocker recipe for easy usage"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4460,39 +4494,39 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "proto-plus"
-version = "1.23.0"
+version = "1.24.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-protobuf = ">=3.19.0,<5.0.0dev"
+protobuf = ">=3.19.0,<6.0.0dev"
 
 [package.extras]
-testing = ["google-api-core[grpc] (>=1.31.5)"]
+testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "4.25.3"
+version = "4.25.4"
 description = ""
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
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+version = "17.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.8"
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+
+[package.extras]
+test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
 [[package]]
 name = "pyasn1"
@@ -4609,13 +4646,13 @@ pyasn1 = ">=0.4.6,<0.7.0"
 
 [[package]]
 name = "pyautogen"
-version = "0.2.22"
+version = "0.2.33"
 description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
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 python-versions = "<3.13,>=3.8"
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 [package.dependencies]
@@ -4624,22 +4661,34 @@ docker = "*"
 flaml = "*"
 numpy = ">=1.17.0,<2"
 openai = ">=1.3"
+packaging = "*"
 pydantic = ">=1.10,<2.6.0 || >2.6.0,<3"
 python-dotenv = "*"
 termcolor = "*"
 tiktoken = "*"
 
 [package.extras]
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+anthropic = ["anthropic (>=0.23.1)"]
+autobuild = ["chromadb", "huggingface-hub", "pysqlite3", "sentence-transformers"]
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+cohere = ["cohere (>=5.5.8)"]
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+gemini = ["google-auth", "google-cloud-aiplatform", "google-generativeai (>=0.5,<1)", "pillow", "pydantic"]
 graph = ["matplotlib", "networkx"]
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 lmm = ["pillow", "replicate"]
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 mathchat = ["pydantic (==1.10.9)", "sympy", "wolframalpha"]
+mistral = ["mistralai (>=0.2.0)"]
 redis = ["redis"]
-retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "sentence-transformers"]
+retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "protobuf (==4.25.3)", "pypdf", "sentence-transformers"]
+retrievechat-mongodb = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "protobuf (==4.25.3)", "pymongo (>=4.0.0)", "pypdf", "sentence-transformers"]
+retrievechat-pgvector = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pgvector (>=0.2.5)", "protobuf (==4.25.3)", "psycopg (>=3.1.18)", "pypdf", "sentence-transformers"]
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+test = ["ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio", "pytest-cov (>=5)"]
+together = ["together (>=1.2)"]
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 websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer.six"]
@@ -4657,109 +4706,119 @@ files = [
 
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 [package.dependencies]
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+pydantic-core = "2.20.1"
+typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
 
 [package.extras]
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+version = "2.20.1"
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 [[package]]
 name = "pydeck"
-version = "0.8.0"
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 ]
 
 [package.dependencies]
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 [package.extras]
-aws = ["pymongo-auth-aws (<2.0.0)"]
-encryption = ["certifi", "pymongo[aws]", "pymongocrypt (>=1.6.0,<2.0.0)"]
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 gssapi = ["pykerberos", "winkerberos (>=0.5.0)"]
 ocsp = ["certifi", "cryptography (>=2.5)", "pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"]
 snappy = ["python-snappy"]
 test = ["pytest (>=7)"]
 zstd = ["zstandard"]
 
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-
-[package.dependencies]
-PyMuPDFb = "1.24.1"
-
-[[package]]
-name = "pymupdfb"
-version = "1.24.1"
-description = "MuPDF shared libraries for PyMuPDF."
-optional = false
-python-versions = ">=3.8"
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-]
-
 [[package]]
 name = "pyparsing"
 version = "3.1.2"
@@ -5014,13 +4983,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "4.2.0"
+version = "4.3.1"
 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.dependencies]
@@ -5255,6 +5224,7 @@ files = [
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@@ -5439,13 +5409,13 @@ files = [
 
 [[package]]
 name = "requests"
-version = "2.31.0"
+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
 ]
 
 [package.dependencies]
@@ -5476,24 +5446,6 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
-[[package]]
-name = "responses"
-version = "0.18.0"
-description = "A utility library for mocking out the `requests` Python library."
-optional = false
-python-versions = ">=3.7"
-files = [
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-
-[package.dependencies]
-requests = ">=2.0,<3.0"
-urllib3 = ">=1.25.10"
-
-[package.extras]
-tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=4.6)", "pytest-cov", "pytest-localserver", "types-mock", "types-requests"]
-
 [[package]]
 name = "rfc3339-validator"
 version = "0.1.4"
@@ -5528,110 +5480,114 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "rpds-py"
-version = "0.18.0"
+version = "0.19.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -5880,92 +5826,95 @@ paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
 pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
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 [[package]]
 name = "semantic-kernel"
@@ -5992,13 +5941,13 @@ regex = ">=2023.6.3,<2024.0.0"
 
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 scipy = "*"
 torch = ">=1.11.0"
 tqdm = "*"
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 [[package]]
 name = "sentencepiece"
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 [[package]]
 name = "smmap"
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 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -6356,27 +6296,27 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "st-pages"
-version = "0.4.5"
+version = "1.0.0"
 description = "An experimental version of Streamlit Multi-Page Apps"
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-python-versions = ">=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*"
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 [package.dependencies]
-streamlit = ">=1.10.0"
+streamlit = ">=1.36.0"
 
 [[package]]
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-version = "1.30.0"
+version = "1.38.0"
 description = "A faster way to build and share data apps"
 optional = false
-python-versions = ">=3.8, !=3.9.7"
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 [package.dependencies]
@@ -6385,27 +6325,23 @@ blinker = ">=1.0.0,<2"
 cachetools = ">=4.0,<6"
 click = ">=7.0,<9"
 gitpython = ">=3.0.7,<3.1.19 || >3.1.19,<4"
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-numpy = ">=1.19.3,<2"
-packaging = ">=16.8,<24"
+numpy = ">=1.20,<3"
+packaging = ">=20,<25"
 pandas = ">=1.3.0,<3"
 pillow = ">=7.1.0,<11"
-protobuf = ">=3.20,<5"
-pyarrow = ">=6.0"
+protobuf = ">=3.20,<6"
+pyarrow = ">=7.0"
 pydeck = ">=0.8.0b4,<1"
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 requests = ">=2.27,<3"
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-tzlocal = ">=1.1,<6"
-validators = ">=0.2,<1"
-watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""}
+watchdog = {version = ">=2.1.5,<5", markers = "platform_system != \"Darwin\""}
 
 [package.extras]
-snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python (>=0.9.0)"]
+snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python[modin] (>=1.17.0)"]
 
 [[package]]
 name = "striprtf"
@@ -6420,31 +6356,35 @@ files = [
 
 [[package]]
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+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
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 [package.dependencies]
-mpmath = ">=0.19"
+mpmath = ">=1.1.0,<1.4"
+
+[package.extras]
+dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
 [[package]]
 name = "tenacity"
-version = "8.2.3"
+version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "termcolor"
@@ -6462,58 +6402,58 @@ tests = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.4.0"
+version = "3.5.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "tiktoken"
-version = "0.6.0"
+version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -6525,13 +6465,13 @@ blobfile = ["blobfile (>=2)"]
 
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@@ -6543,13 +6483,13 @@ torchvision = "*"
 
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 [package.extras]
 doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["flake8", "isort", "pytest"]
+test = ["pytest", "ruff"]
 
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 [package.extras]
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-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 = "toml"
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 ]
 
 [package.dependencies]
@@ -6770,7 +6700,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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 sympy = "*"
-triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -6779,75 +6709,76 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "torchvision"
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+version = "0.17.0"
 description = "image and video datasets and models for torch deep learning"
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 [package.extras]
 scipy = ["scipy"]
 
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 [[package]]
 name = "tqdm"
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 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -6861,19 +6792,19 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
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+version = "4.42.4"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 filelock = "*"
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+numpy = ">=1.17,<2.0"
 packaging = ">=20.0"
 protobuf = {version = "*", optional = true, markers = "extra == \"sentencepiece\""}
 pyyaml = ">=5.1"
@@ -6881,23 +6812,22 @@ regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
 sentencepiece = {version = ">=0.1.91,<0.1.92 || >0.1.92", optional = true, markers = "extra == \"sentencepiece\""}
-tokenizers = ">=0.14,<0.19"
+tokenizers = ">=0.19,<0.20"
 tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.21.0)"]
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
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-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 (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
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-docs-specific = ["hf-doc-builder"]
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+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)", "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-rich", "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 (==0.4.4)", "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 (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
 integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
@@ -6907,25 +6837,26 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.4.4)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+ruff = ["ruff (==0.4.4)"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 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"]
-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"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "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 (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-timm = ["timm"]
-tokenizers = ["tokenizers (>=0.14,<0.19)"]
+timm = ["timm (<=0.9.16)"]
+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 (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17,<2.0)", "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)"]
 
@@ -6954,13 +6885,13 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.11.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
-    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
@@ -6989,23 +6920,6 @@ files = [
     {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
 ]
 
-[[package]]
-name = "tzlocal"
-version = "5.2"
-description = "tzinfo object for the local timezone"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
-    {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
-]
-
-[package.dependencies]
-tzdata = {version = "*", markers = "platform_system == \"Windows\""}
-
-[package.extras]
-devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
-
 [[package]]
 name = "uritemplate"
 version = "4.1.1"
@@ -7019,13 +6933,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.1"
+version = "2.2.2"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
-    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
+    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
+    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
 ]
 
 [package.extras]
@@ -7034,26 +6948,15 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "validators"
-version = "0.28.0"
-description = "Python Data Validation for Humans™"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "validators-0.28.0-py3-none-any.whl", hash = "sha256:e0184691dea3ba82b52c161ba81d3ec1d8be8da9609f0137d1430b395b366521"},
-    {file = "validators-0.28.0.tar.gz", hash = "sha256:85bc82511f6ccd0800f4c15d8c0dc546c15e369640c5ea1f24349ba0b3b17815"},
-]
-
 [[package]]
 name = "virtualenv"
-version = "20.25.1"
+version = "20.26.3"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
-    {file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"},
+    {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"},
+    {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"},
 ]
 
 [package.dependencies]
@@ -7062,45 +6965,48 @@ filelock = ">=3.12.2,<4"
 platformdirs = ">=3.9.1,<5"
 
 [package.extras]
-docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+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)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "watchdog"
-version = "4.0.0"
+version = "4.0.1"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "watchdog-4.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:39cb34b1f1afbf23e9562501673e7146777efe95da24fab5707b88f7fb11649b"},
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+    {file = "watchdog-4.0.1-py3-none-win_amd64.whl", hash = "sha256:7577b3c43e5909623149f76b099ac49a1a01ca4e167d1785c76eb52fa585745a"},
+    {file = "watchdog-4.0.1-py3-none-win_ia64.whl", hash = "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d"},
+    {file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
 ]
 
 [package.extras]
@@ -7108,13 +7014,13 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcmatch"
-version = "8.5.1"
+version = "8.5.2"
 description = "Wildcard/glob file name matcher."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "wcmatch-8.5.1-py3-none-any.whl", hash = "sha256:24c19cedc92bc9c9e27f39db4e1824d72f95bd2cea32b254a47a45b1a1b227ed"},
-    {file = "wcmatch-8.5.1.tar.gz", hash = "sha256:c0088c7f6426cf6bf27e530e2b7b734031905f7e490475fd83c7c5008ab581b3"},
+    {file = "wcmatch-8.5.2-py3-none-any.whl", hash = "sha256:17d3ad3758f9d0b5b4dedc770b65420d4dac62e680229c287bf24c9db856a478"},
+    {file = "wcmatch-8.5.2.tar.gz", hash = "sha256:a70222b86dea82fb382dd87b73278c10756c138bd6f8f714e2183128887b9eb2"},
 ]
 
 [package.dependencies]
@@ -7133,13 +7039,13 @@ files = [
 
 [[package]]
 name = "werkzeug"
-version = "3.0.2"
+version = "3.0.3"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "werkzeug-3.0.2-py3-none-any.whl", hash = "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795"},
-    {file = "werkzeug-3.0.2.tar.gz", hash = "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d"},
+    {file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"},
+    {file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"},
 ]
 
 [package.dependencies]
@@ -7229,13 +7135,13 @@ files = [
 
 [[package]]
 name = "xdoctest"
-version = "1.1.3"
+version = "1.1.6"
 description = "A rewrite of the builtin doctest module"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "xdoctest-1.1.3-py3-none-any.whl", hash = "sha256:9360535bd1a971ffc216d9613898cedceb81d0fd024587cc3c03c74d14c00a31"},
-    {file = "xdoctest-1.1.3.tar.gz", hash = "sha256:84e76a42a11a5926ff66d9d84c616bc101821099672550481ad96549cbdd02ae"},
+    {file = "xdoctest-1.1.6-py3-none-any.whl", hash = "sha256:a6f673df8c82b8fe0adc536f14c523464f25c6d2b733ed78888b8f8d6c46012e"},
+    {file = "xdoctest-1.1.6.tar.gz", hash = "sha256:00ec7bde36addbedf5d1db0db57b6b669a7a4b29ad2d16480950556644f02109"},
 ]
 
 [package.extras]
@@ -7472,20 +7378,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.18.1"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
-    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "d99311786d671b74993ca123fb21d1bd5b89147ba1ddae0f7afc52fad9727383"
+content-hash = "7d813d49209908808dc2a5f16e94357ce6364531a6d895e84328005efceb3181"
diff --git a/pyproject.toml b/pyproject.toml
index d8ab37b2..63425a86 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "docq"
-version = "0.12.1"
+version = "0.13.1"
 description = "Docq.AI - Your private ChatGPT alternative. Securely unlock knowledge from confidential documents."
 authors = ["Docq.AI Team <support@docqai.com>"]
 maintainers = ["Docq.AI Team <support@docqai.com>"]
@@ -13,8 +13,8 @@ packages = [{ include = "docq", from = "source" }]
 
 [tool.poetry.dependencies]
 python = ">=3.10,<3.12"
-streamlit = "1.30.0"
-st-pages = "^0.4.1"
+streamlit = "^1.38.0"
+st-pages = "^1.0.0"
 pypdf = "^4.1.0"
 docx2txt = "^0.8"
 argon2-cffi = "^21.3.0"
@@ -22,7 +22,7 @@ azure-core = "^1.27.1"
 opendal = "^0.41.0"
 transformers = "^4.38.2"
 optimum = {extras = ["exporters"], version = "^1.17.1"}
-torch = "^2.0.0, !=2.0.1, !=2.1.0"
+torch = "2.2.0"
 cryptography = "^42.0.4"
 span-marker = "^1.3.0"
 honeycomb-opentelemetry = "^0.2.3b0"
@@ -47,7 +47,7 @@ google-auth-oauthlib = "^1.1.0"
 google-api-python-client = "^2.104.0"
 google-auth-httplib2 = "^0.1.1"
 microsoftgraph-python = "^1.1.6"
-pydantic = "^2.5.2"
+pydantic = "2.8.2"
 mkdocs-material = "^9.5.13"
 pyautogen = "^0.2.2"
 termcolor = "^2.4.0"
@@ -57,14 +57,14 @@ semantic-kernel = "0.4.3.dev0"
 imap-tools = "^1.5.0"
 llama-index-llms-litellm = "^0.1.3"
 llama-index-embeddings-azure-openai = "^0.1.6"
-jwt = "^1.3.1"
 llama-index-embeddings-huggingface-optimum = "^0.1.5"
-llama-index-core = "^0.10.39"
 llama-index-readers-file = "^0.1.12"
 slack-bolt = "^1.18.1"
 llama-index-retrievers-bm25 = "^0.1.3"
 sentence-transformers = "^2.6.1"
 llama-index-postprocessor-colbert-rerank = "^0.1.2"
+jwt = "^1.3.1"
+llama-index-core = "0.10.39"
 
 [tool.poetry.group.dev.dependencies]
 pre-commit = "^2.18.1"
diff --git a/source/docq/config.py b/source/docq/config.py
index 48d1487c..dac509da 100644
--- a/source/docq/config.py
+++ b/source/docq/config.py
@@ -28,10 +28,10 @@
 class SpaceType(Enum):
     """Space types. These reflect scope of data access."""
 
-    PERSONAL = "personal"
+    PERSONAL = "personal"  # DEPRECATED. Personal spaces are now shared spaces in the users personal org.
     SHARED = "shared"
-    PUBLIC = "public"
-    THREAD = "thread"
+    PUBLIC = "public"  # public spaces are accessible to all users and anonymous users such as via widgets for chat bots
+    THREAD = "thread"  # a space that belongs to a thread used for adhoc uploads.
 
 
 class SystemFeatureType(Enum):
diff --git a/source/docq/manage_assistants.py b/source/docq/manage_assistants.py
index b2ff4a95..b69d9130 100644
--- a/source/docq/manage_assistants.py
+++ b/source/docq/manage_assistants.py
@@ -8,8 +8,8 @@
 from llama_index.core.base.llms.types import ChatMessage, MessageRole
 from llama_index.core.prompts import ChatPromptTemplate
 
-from .domain import Assistant, AssistantType
-from .support.store import (
+from docq.domain import Assistant, AssistantType
+from docq.support.store import (
     get_sqlite_global_system_file,
     get_sqlite_org_system_file,
 )
@@ -126,7 +126,7 @@
     updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
 )
 """
-
+# id, name, type, archived, system_prompt_template, user_prompt_template, llm_settings_collection_key, created_at, updated_at, scoped_id
 ASSISTANT = tuple[int, str, str, bool, str, str, str, datetime, datetime, str]
 
 
@@ -196,10 +196,17 @@ def get_assistant_fixed(
     return result
 
 
-def get_assistant_or_default(assistant_scoped_id: Optional[int] = None, org_id: Optional[int] = None) -> Assistant:
-    """Get the persona."""
+def get_assistant_or_default(assistant_scoped_id: Optional[str] = None, org_id: Optional[int] = None) -> Assistant:
+    """Get the persona.
+
+    Args:
+        assistant_scoped_id (Optional[int]): The assistant scoped ID. A composite ID <scope>_<id>.
+            scope is either 'org' or 'global'. id from the respective table.
+        org_id (Optional[int]): The org ID.
+
+    """
     if assistant_scoped_id:
-        assistant_data = get_assistant(assistant_scoped_id=str(assistant_scoped_id), org_id=org_id)
+        assistant_data = get_assistant(assistant_scoped_id=assistant_scoped_id, org_id=org_id)
         return Assistant(
             key=str(assistant_data[0]),
             name=assistant_data[1],
@@ -209,7 +216,11 @@ def get_assistant_or_default(assistant_scoped_id: Optional[int] = None, org_id:
         )
     else:
         key = "default"
-        return Assistant(key=key, **SIMPLE_CHAT_PERSONAS[key])
+        return Assistant(
+            key=key,
+            llm_settings_collection_key="azure_openai_with_local_embedding",
+            **SIMPLE_CHAT_PERSONAS[key],
+        )
 
 
 def list_assistants(org_id: Optional[int] = None, assistant_type: Optional[AssistantType] = None) -> list[ASSISTANT]:
@@ -258,6 +269,7 @@ def get_assistant(assistant_scoped_id: str, org_id: Optional[int]) -> ASSISTANT:
     if scope == "org" and org_id:
         path = __get_assistants_sqlite_file(org_id=org_id)
     else:
+        # global scope
         path = __get_assistants_sqlite_file(org_id=None)
 
     with closing(sqlite3.connect(path, detect_types=sqlite3.PARSE_DECLTYPES)) as connection, closing(
@@ -271,10 +283,10 @@ def get_assistant(assistant_scoped_id: str, org_id: Optional[int]) -> ASSISTANT:
         if row is None:
             if org_id and scope == "org":
                 raise ValueError(
-                    f"No Persona with: id = '{assistant_scoped_id}' that belongs to org org_id= '{org_id}', scope= '{scope}'"
+                    f"No Assistant with: id = '{id_}' that belongs to org org_id= '{org_id}', scope= '{scope}'"
                 )
             else:
-                raise ValueError(f"No Persona with: id = '{assistant_scoped_id}' in global scope. scope= '{scope}'")
+                raise ValueError(f"No Assistant with: id = '{id_}' in global scope. scope= '{scope}'")
         return (row[0], row[1], row[2], row[3], row[4], row[5], row[6], row[7], row[8], assistant_scoped_id)
 
 
diff --git a/source/docq/manage_spaces.py b/source/docq/manage_spaces.py
index 541a0058..a77c8f37 100644
--- a/source/docq/manage_spaces.py
+++ b/source/docq/manage_spaces.py
@@ -11,14 +11,13 @@
 from opentelemetry import trace
 
 import docq
-
-from .access_control.main import SpaceAccessor, SpaceAccessType
-from .config import SpaceType
-from .data_source.list import SpaceDataSources
-from .domain import DocumentListItem, SpaceKey
-from .manage_indices import _create_vector_index, _persist_index
-from .model_selection.main import get_saved_model_settings_collection
-from .support.store import get_sqlite_shared_system_file
+from docq.access_control.main import SpaceAccessor, SpaceAccessType
+from docq.config import SpaceType
+from docq.data_source.list import SpaceDataSources
+from docq.domain import DocumentListItem, SpaceKey
+from docq.manage_indices import _create_vector_index, _persist_index
+from docq.model_selection.main import get_saved_model_settings_collection
+from docq.support.store import get_sqlite_shared_system_file
 
 tracer = trace.get_tracer(__name__, docq.__version_str__)
 
@@ -151,6 +150,7 @@ def list_space(org_id: int, space_type: Optional[str] = None) -> list[SPACE]:
         )
 
         rows = cursor.fetchall()
+        print("spaces:", rows)
         return [_format_space(row) for row in rows]
 
 
@@ -354,8 +354,7 @@ def get_thread_space(org_id: int, thread_id: int) -> SpaceKey | None:
     with closing(
         sqlite3.connect(get_sqlite_shared_system_file(), detect_types=sqlite3.PARSE_DECLTYPES)
     ) as connection, closing(connection.cursor()) as cursor:
-
-        name = f"Thread-{thread_id} %"
+        name = f"Thread-{thread_id} %"  # FIXME: urg this is nasty.
         cursor.execute(
             "SELECT id FROM spaces WHERE org_id = ? AND name LIKE ? AND space_type = ?",
             (org_id, name, SpaceType.THREAD.name),
diff --git a/source/docq/model_selection/main.py b/source/docq/model_selection/main.py
index 0639c5a4..80eda3af 100644
--- a/source/docq/model_selection/main.py
+++ b/source/docq/model_selection/main.py
@@ -13,6 +13,19 @@
 from typing import Any, Dict, Mapping, Optional
 
 import docq
+from docq.config import (
+    ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE1,
+    ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE2,
+    ENV_VAR_DOCQ_AZURE_OPENAI_API_KEY1,
+    ENV_VAR_DOCQ_AZURE_OPENAI_API_KEY2,
+    ENV_VAR_DOCQ_AZURE_OPENAI_API_VERSION,
+    ENV_VAR_DOCQ_GROQ_API_KEY,
+    EXPERIMENTS,
+    OrganisationSettingsKey,
+)
+from docq.manage_settings import get_organisation_settings
+from docq.support.llama_index.callbackhandlers import OtelCallbackHandler
+from docq.support.store import get_models_dir
 from llama_index.core.callbacks.base import CallbackManager
 from llama_index.core.embeddings import BaseEmbedding
 from llama_index.core.llms import LLM
@@ -25,20 +38,6 @@
 from opentelemetry import trace
 from vertexai.preview.generative_models import HarmBlockThreshold, HarmCategory
 
-from ..config import (
-    ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE1,
-    ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE2,
-    ENV_VAR_DOCQ_AZURE_OPENAI_API_KEY1,
-    ENV_VAR_DOCQ_AZURE_OPENAI_API_KEY2,
-    ENV_VAR_DOCQ_AZURE_OPENAI_API_VERSION,
-    ENV_VAR_DOCQ_GROQ_API_KEY,
-    EXPERIMENTS,
-    OrganisationSettingsKey,
-)
-from ..manage_settings import get_organisation_settings
-from ..support.llama_index.callbackhandlers import OtelCallbackHandler
-from ..support.store import get_models_dir
-
 tracer = trace.get_tracer(__name__, docq.__version_str__)
 
 
@@ -165,9 +164,10 @@ class LlmUsageSettingsCollection:
         provider=ModelProvider.AZURE_OPENAI,
         model_name="gpt-4o",
         model_deployment_name="gpt-4o-2024-05-13",
-        api_base=os.getenv(ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE2) or "",
-        api_key=os.getenv(ENV_VAR_DOCQ_AZURE_OPENAI_API_KEY2) or "",
-        api_version=os.environ.get(ENV_VAR_DOCQ_AZURE_OPENAI_API_VERSION, "2023-05-15"),
+        api_base=os.getenv(ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE2) or "base url missing",
+        api_key=os.getenv(ENV_VAR_DOCQ_AZURE_OPENAI_API_KEY2) or "api key missing",
+        # api_version=os.environ.get(ENV_VAR_DOCQ_AZURE_OPENAI_API_VERSION, "2023-05-15"),
+        api_version=os.environ.get(ENV_VAR_DOCQ_AZURE_OPENAI_API_VERSION, "2024-07-01-preview"),
         license_="Commercial",
     ),
     "azure-openai-ada-002": LlmServiceInstanceConfig(
@@ -282,7 +282,7 @@ class LlmUsageSettingsCollection:
             ModelCapability.CHAT: LlmUsageSettings(
                 model_capability=ModelCapability.CHAT,
                 temperature=0.7,
-                service_instance_config=LLM_SERVICE_INSTANCES["azure-openai-gpt35turbo"],
+                service_instance_config=LLM_SERVICE_INSTANCES["azure-openai-gpt4o-2024-05-13"],
             ),
             ModelCapability.EMBEDDING: LlmUsageSettings(
                 model_capability=ModelCapability.EMBEDDING,
@@ -412,6 +412,9 @@ class LlmUsageSettingsCollection:
 def get_model_settings_collection(model_settings_collection_key: str) -> LlmUsageSettingsCollection:
     """Get the settings for the model."""
     try:
+        x = os.getenv(ENV_VAR_DOCQ_AZURE_OPENAI_API_BASE2)
+        if not x:
+            raise ValueError("Azure OpenAI API base 2 is missing")
         return LLM_MODEL_COLLECTIONS[model_settings_collection_key]
     except KeyError as e:
         log.error(
diff --git a/source/docq/run_queries.py b/source/docq/run_queries.py
index c8c1e077..68053586 100644
--- a/source/docq/run_queries.py
+++ b/source/docq/run_queries.py
@@ -2,28 +2,28 @@
 
 import logging as log
 import sqlite3
-from concurrent.futures import thread
 from contextlib import closing
 from datetime import datetime
 from typing import Literal, Optional
 
 from llama_index.core.llms import ChatMessage, MessageRole
-from numpy import int32
 
+from docq.config import OrganisationFeatureType
+from docq.domain import FeatureKey, SpaceKey
+from docq.manage_assistants import Assistant
+from docq.manage_documents import format_document_sources
 from docq.model_selection.main import LlmUsageSettingsCollection
-
-from .config import OrganisationFeatureType
-from .domain import FeatureKey, SpaceKey
-from .manage_assistants import Assistant
-from .manage_documents import format_document_sources
-from .support.llm import query_error, run_ask, run_chat
-from .support.store import (
+from docq.support.llm import query_error, run_ask, run_chat
+from docq.support.store import (
     get_history_table_name,
     get_history_thread_table_name,
     get_public_sqlite_usage_file,
     get_sqlite_usage_file,
 )
 
+# TODO: add thread_space_id to hold the space that's hard attached to a thread for adhoc uploads
+# add space_ids dict / array to loosely persist space ids that are selected by a user.
+# add assistant_scoped_id to hold the assistant that's attached to the thread.
 SQL_CREATE_THREAD_TABLE = """
 CREATE TABLE IF NOT EXISTS {table} (
     id INTEGER PRIMARY KEY,
@@ -32,6 +32,7 @@
 )
 """
 
+
 SQL_CREATE_MESSAGE_TABLE = """
 CREATE TABLE IF NOT EXISTS {table} (
     id INTEGER PRIMARY KEY,
@@ -52,6 +53,7 @@
 
 
 def _save_messages(data: list[tuple[str, bool, datetime, int]], feature: FeatureKey) -> list:
+    """feature.id_ needs to be the user_id."""
     rows = []
     tablename = get_history_table_name(feature.type_)
     thread_tablename = get_history_thread_table_name(feature.type_)
@@ -124,7 +126,7 @@ def _retrieve_messages(
 
 
 def list_thread_history(feature: FeatureKey, id_: Optional[int] = None) -> list[tuple[int, str, int]]:
-    """List the history of threads."""
+    """List threads or a thread if id_ is provided."""
     tablename = get_history_thread_table_name(feature.type_)
     rows = None
     with closing(
@@ -206,7 +208,7 @@ def get_history_as_chat_messages(
     return history_chat_message
 
 
-def create_history_thread(topic: str, feature: FeatureKey) -> int:
+def create_history_thread(topic: str, feature: FeatureKey) -> int | None:
     """Create a new thread for the history i.e a new chat session."""
     tablename = get_history_thread_table_name(feature.type_)
     with closing(
@@ -225,6 +227,34 @@ def create_history_thread(topic: str, feature: FeatureKey) -> int:
 
     return id_
 
+def delete_thread(thread_id: int, feature: FeatureKey) -> bool:
+    """Delete a thread and its associated messages.
+
+    feature.id_ needs to be the user_id.
+    """
+    thread_tablename = get_history_thread_table_name(feature.type_)
+    message_tablename = get_history_table_name(feature.type_)
+    usage_file = (
+        get_sqlite_usage_file(feature.id_)
+        if feature.type_ != OrganisationFeatureType.ASK_PUBLIC
+        else get_public_sqlite_usage_file(str(feature.id_))
+    )
+    is_deleted = False
+    with closing(sqlite3.connect(usage_file, detect_types=sqlite3.PARSE_DECLTYPES)) as connection, closing(
+        connection.cursor()
+    ) as cursor:
+        cursor.execute("PRAGMA foreign_keys = ON;")
+        try:
+            cursor.execute(f"DELETE FROM {message_tablename} WHERE thread_id = ?", (thread_id,))  # noqa: S608
+            cursor.execute(f"DELETE FROM {thread_tablename} WHERE id = ?", (thread_id,))  # noqa: S608
+            connection.commit()
+            is_deleted = True
+        except sqlite3.Error as e:
+            connection.rollback()
+            # raise e
+            is_deleted = False
+    return is_deleted
+
 
 def get_latest_thread(feature: FeatureKey) -> tuple[int, str, int] | None:
     """Retrieve the most recently created thread.
diff --git a/source/docq/support/auth_utils.py b/source/docq/support/auth_utils.py
index aac5fcfa..d5b74d39 100644
--- a/source/docq/support/auth_utils.py
+++ b/source/docq/support/auth_utils.py
@@ -9,11 +9,11 @@
 from typing import Dict, Optional
 
 import docq
+import streamlit as st
 from cachetools import TTLCache
 from cryptography.fernet import Fernet
 from opentelemetry import trace
 from streamlit.components.v1 import html
-from streamlit.web.server.websocket_headers import _get_websocket_headers
 
 from ..config import ENV_VAR_DOCQ_COOKIE_HMAC_SECRET_KEY, SESSION_COOKIE_NAME
 
@@ -80,7 +80,7 @@ def _clear_cookie(cookie_name: str) -> None:
 def _get_cookies() -> Optional[Dict[str, str]]:
     """Return client cookies."""
     try:
-        headers = _get_websocket_headers()
+        headers = st.context.headers  # _get_websocket_headers()
         if headers is None:
             return None
         cookie_str = str(headers.get("Cookie"))
diff --git a/source/docq/support/llama_index/node_post_processors.py b/source/docq/support/llama_index/node_post_processors.py
index ecc6145b..2caab50f 100644
--- a/source/docq/support/llama_index/node_post_processors.py
+++ b/source/docq/support/llama_index/node_post_processors.py
@@ -3,7 +3,7 @@
 These aren't always implementations of LlamaIndex's `BaseNodePostProcessor` interface, but they are used in a similar way.
 """
 
-from typing import Dict, List, Tuple
+from typing import Dict, List
 
 from llama_index.core.schema import NodeWithScore
 
@@ -40,5 +40,5 @@ def reciprocal_rank_fusion(results: Dict[str, List[NodeWithScore]]) -> List[Node
     for text, score in reranked_results.items():
         reranked_nodes.append(text_to_node[text])
         reranked_nodes[-1].score = score
-
+    print("reranked_nodes: ", len(reranked_nodes))
     return reranked_nodes
diff --git a/source/docq/support/llama_index/query_pipeline_components.py b/source/docq/support/llama_index/query_pipeline_components.py
index 8e53c3dd..d08b86a0 100644
--- a/source/docq/support/llama_index/query_pipeline_components.py
+++ b/source/docq/support/llama_index/query_pipeline_components.py
@@ -1,7 +1,7 @@
 """Custom Llama Index query pipeline components."""
 
 from abc import abstractmethod
-from typing import Any, Dict, List, Optional, Self
+from typing import Any, Callable, Dict, List, Optional, Self
 
 from llama_index.core.base.query_pipeline.query import (
     ChainableMixin,
@@ -275,11 +275,59 @@ def _run(self: Self, query_bundle: QueryBundle, metadata: Dict) -> QueryBundle:
         # TODO: support generating multiple hypothetical docs
         query_str = query_bundle.query_str
         hypothetical_doc = self._llm.predict(self._hyde_prompt, query_str=query_str, **self._promp_args)
-        print("hypothetical_doc: ", hypothetical_doc)
         embedding_strs = [hypothetical_doc]
         if self._include_original:
             embedding_strs.extend(query_bundle.embedding_strs)
         return QueryBundle(
             query_str=query_str,
             custom_embedding_strs=embedding_strs,
-        )
\ No newline at end of file
+        )
+
+class KwargPackComponent(QueryComponent):
+    """Kwarg pack component.
+
+    Packs arbitrary number of kwargs into a dict.
+
+    """
+
+    convert_fn: Optional[Callable] = Field(default=None, description="Function to convert output.")
+
+    def _validate_component_inputs(self, input: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate component inputs during run_component."""
+        raise NotImplementedError
+
+    def validate_component_inputs(self, input: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate component inputs."""
+        return input
+
+    def _validate_component_outputs(self, output: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate component outputs."""
+        # make sure output value is a list
+        if not isinstance(output["output"], dict):
+            raise ValueError(f"Output is not a dict.")
+        return output
+
+    def set_callback_manager(self, callback_manager: Any) -> None:
+        """Set callback manager."""
+
+    def _run_component(self, **kwargs: Any) -> Any:
+        """Run component."""
+        if self.convert_fn is not None:
+            for k, v in kwargs.items():
+                kwargs[k] = self.convert_fn(v)
+        return {"output": kwargs}
+
+    async def _arun_component(self, **kwargs: Any) -> Any:
+        """Run component (async)."""
+        return self._run_component(**kwargs)
+
+    @property
+    def input_keys(self) -> InputKeys:
+        """Input keys."""
+        # NOTE: this shouldn't be used
+        return InputKeys.from_keys(set(), optional_keys=set())
+
+    @property
+    def output_keys(self) -> OutputKeys:
+        """Output keys."""
+        return OutputKeys.from_keys({"output"})
\ No newline at end of file
diff --git a/source/docq/support/llm.py b/source/docq/support/llm.py
index 7a7714ef..e3e18cce 100644
--- a/source/docq/support/llm.py
+++ b/source/docq/support/llm.py
@@ -2,10 +2,28 @@
 
 import logging as log
 import os
+import traceback
 from typing import List, Optional
 from uu import Error
 
 import docq
+from docq.domain import SpaceKey
+from docq.manage_assistants import Assistant, llama_index_chat_prompt_template_from_assistant
+from docq.manage_indices import _load_index_from_storage, load_indices_from_storage
+from docq.model_selection.main import (
+    LLM_MODEL_COLLECTIONS,
+    LlmUsageSettingsCollection,
+    ModelCapability,
+    ModelProvider,
+    _get_service_context,
+)
+from docq.support.llama_index.node_post_processors import reciprocal_rank_fusion
+from docq.support.llama_index.query_pipeline_components import (
+    HyDEQueryTransform,
+    KwargPackComponent,
+    ResponseWithChatHistory,
+)
+from docq.support.store import get_models_dir
 from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
 from llama_index.core.chat_engine import SimpleChatEngine
 from llama_index.core.chat_engine.types import AGENT_CHAT_RESPONSE_TYPE, AgentChatResponse
@@ -18,7 +36,8 @@
     QueryPipeline,
 )
 from llama_index.core.query_pipeline.components import FnComponent
-from llama_index.core.query_pipeline.components.argpacks import KwargPackComponent
+
+# from llama_index.core.query_pipeline.components.argpacks import KwargPackComponent
 from llama_index.core.retrievers import BaseRetriever, QueryFusionRetriever
 from llama_index.core.retrievers.fusion_retriever import FUSION_MODES
 
@@ -28,21 +47,6 @@
 from opentelemetry import trace
 from opentelemetry.trace import Status, StatusCode
 
-from ..domain import SpaceKey
-from ..manage_assistants import Assistant, llama_index_chat_prompt_template_from_assistant
-from ..manage_indices import _load_index_from_storage, load_indices_from_storage
-from ..model_selection.main import (
-    LLM_MODEL_COLLECTIONS,
-    LlmUsageSettingsCollection,
-    ModelCapability,
-    ModelProvider,
-    _get_service_context,
-)
-from .ansi_colours import AnsiColours
-from .llama_index.node_post_processors import reciprocal_rank_fusion
-from .llama_index.query_pipeline_components import HyDEQueryTransform, ResponseWithChatHistory
-from .store import get_models_dir
-
 tracer = trace.get_tracer(__name__, docq.__version_str__)
 
 
@@ -248,41 +252,83 @@ def run_ask2(
     """Implements logic of run_ask() using LlamaIndex query pipelines."""
     span = trace.get_current_span()
 
+    service_context = _get_service_context(model_settings_collection)
+    span.add_event(name="service_context_loaded")
+
     try:
         indices = []
         if spaces is not None and len(spaces) > 0:
             indices = load_indices_from_storage(spaces, model_settings_collection)
+            if indices is None or len(indices) == 0:
+                span.add_event(name="indices_loading_failed")
+                span.set_status(status=Status(StatusCode.ERROR))
+                raise Error("Failed to load indices from storage for any Spaces.")
+
+            else:
+                span.add_event(
+                    name="indices_loaded",
+                    attributes={"num_indices_loaded": len(indices), "num_spaces_given": len(spaces)},
+                )
         # text_qa_template = llama_index_chat_prompt_template_from_assistant(assistant, history)
-        span.add_event(name="prompt_created")
+        # span.add_event(name="prompt_created")
+
         similarity_top_k = 6
+        span.set_attributes(
+            attributes={
+                "model_settings_collection": str(model_settings_collection),
+                "assistant": str(assistant),
+                "similarity_top_k": similarity_top_k,
+            }
+        )
+        # print("indices:", len(indices))
+        # TODO: adjust ask2 to work with multiple spaces.
         vector_retriever = indices[0].as_retriever(similarity_top_k=similarity_top_k)
+        span.add_event(
+            name="vector_retriever_object_created",
+            attributes={
+                "retriever": vector_retriever.__class__.__name__,
+                "index_id": indices[0].index_id,
+                "index_struct_cls": indices[0].index_struct_cls.__name__,
+                "similarity_top_k": similarity_top_k,
+            },
+        )
         # retriever = get_hybrid_fusion_retriever_query(indices, model_settings_collection)
+        if not indices[0].docstore:
+            raise ValueError("The docstore is empty, cannot create BM25Retriever")
 
         bm25_retriever = BM25Retriever.from_defaults(docstore=indices[0].docstore, similarity_top_k=similarity_top_k)
-
-        span.add_event(name="retriever_object_created", attributes={"retriever": vector_retriever.__class__.__name__})
+        span.add_event(
+            name="bm25_retriever_object_created",
+            attributes={
+                "retriever": bm25_retriever.__class__.__name__,
+                "index_id": indices[0].index_id,
+                "index_struct_cls": indices[0].index_struct_cls.__name__,
+                "similarity_top_k": similarity_top_k,
+            },
+        )
 
         # query_engine = RetrieverQueryEngine.from_args(
         #     retriever=retriever,
         #     service_context=_get_service_context(model_settings_collection),
         #     text_qa_template=text_qa_template,
         # )
-        span.add_event(name="query_engine__object_created")
+        # span.add_event(name="query_engine__object_created")
 
         # output = query_engine.query(input_)
         # span.add_event(name="query_executed")
     except Exception as e:
         span.set_status(status=Status(StatusCode.ERROR))
         span.record_exception(e)
-        raise Error(f"Error: {e}") from e
-
+        traceback.print_exc()
 
+        raise Error(f"Error: {e}") from e
 
-    service_context = _get_service_context(model_settings_collection)
     llm = service_context.llm
 
     # First, we create an input component to capture the user query
     input_component = InputComponent()
+    span.add_event(name="query_pipeline_declaration_start")
+    span.add_event(name="input_component_created")
 
     # Next, we use the LLM to rewrite a user query
     HYDE_TMPL = (
@@ -302,20 +348,26 @@ def run_ask2(
     )
     history_str = "\n".join([str(x) for x in history])
     hyde_template = PromptTemplate(template=HYDE_TMPL, prompt_type=PromptType.SUMMARY)
+    span.add_event(name="hyde_prompt_template_created", attributes={"template": str(hyde_template)})
     hyde_query_transform_component = HyDEQueryTransform(
         llm=llm, hyde_prompt=hyde_template, prompt_args={"chat_history_str": history_str}
     ).as_query_component()
 
+    span.add_event(name="hyde_query_transform_component_created")
+
     # we will retrieve two times, so we need to pack the retrieved nodes into a single list
     # argpack_component = ArgPackComponent()
     kwargpack_component = KwargPackComponent()
+    span.add_event(name="kwargpack_component_created")
 
     rerank_component = FnComponent(fn=reciprocal_rank_fusion)
+    span.add_event(name="rerank_component_created")
 
     response_component = ResponseWithChatHistory(
         llm=llm,
         system_prompt=assistant.system_message_content,
     )
+    span.add_event(name="response_component_created")
 
     # define query pipeline
     pipeline = QueryPipeline(
@@ -332,6 +384,7 @@ def run_ask2(
         },
         verbose=False,
     )
+    span.add_event(name="query_pipeline_definition_created")
 
     # transform the user query using the HyDE technique
     pipeline.add_link("input", "hyde_query_transform", src_key="query_str", dest_key="query_str")
@@ -351,7 +404,7 @@ def run_ask2(
 
     # RRF reranker needs the packed dict of node list from each retrieval
     # TODO: add top k
-    pipeline.add_link("join", "RRF_reranker", dest_key="results")
+    pipeline.add_link("join", "RRF_reranker", src_key="output", dest_key="results")
 
     # synthesizer needs the reranked nodes,  query str, and chat history
     pipeline.add_link("RRF_reranker", "response_component", dest_key="nodes")
@@ -362,7 +415,8 @@ def run_ask2(
         src_key="chat_history",
         dest_key="chat_history",
     )
-
+    span.add_event(name="query_pipeline_all_links_created")
+    span.add_event(name="query_pipeline_declaration_end")
     # from pyvis.network import Network # -- poetry add pyvis
 
     # net = Network(notebook=True, cdn_resources="in_line", directed=True)
@@ -371,20 +425,31 @@ def run_ask2(
 
     # output, intermediates = pipeline.run_with_intermediates(input_)
 
+    span.add_event(name="query_pipeline_execution_started")
     output, intermediates = pipeline.run_with_intermediates(
         query_str=input_,
         chat_history=history,
         chat_history_str=history_str,
         callback_manager=service_context.callback_manager,
     )
+    span.add_event(name="query_pipeline_execution_finished")
 
     # # debug code
     # for k, v in intermediates.items():
     #     print(f"{AnsiColours.BLUE.value}>>{k}{AnsiColours.RESET.value}:")
     #     for ki, vi in v.inputs.items():
-    #         print(f"{AnsiColours.GREEN.value}>>>>in: {ki} ({type(vi).__name__}) {AnsiColours.RESET.value}")
+    #         print(
+    #             f"{AnsiColours.GREEN.value}>>>>in: {ki} ({type(vi).__name__}) value: {len(vi)} {AnsiColours.RESET.value}"
+    #         )
+
     #     for ko, vo in v.outputs.items():
-    #         print(f"{AnsiColours.GREEN.value}>>>>out: {ko} ({type(vo).__name__}) {AnsiColours.RESET.value}")
+    #         if not isinstance(vo, ChatResponse):
+    #             print(
+    #                 f"{AnsiColours.GREEN.value}>>>>out: {ko} ({type(vo).__name__}) value:   {len(vo)} {AnsiColours.RESET.value}"
+    #             )
+    #         else:
+    #             print(f"{AnsiColours.GREEN.value}>>>>out: {ko} ({type(vo).__name__})  {AnsiColours.RESET.value}")
+    #         # if k == "join":
 
     # print("ANSWER:", output.get("response", "blah!").message)
 
diff --git a/source/docq/support/store.py b/source/docq/support/store.py
index 3d4fe102..d3be164f 100644
--- a/source/docq/support/store.py
+++ b/source/docq/support/store.py
@@ -10,12 +10,11 @@
 from typing import Optional
 
 import docq
+from docq.config import ENV_VAR_DOCQ_DATA, OrganisationFeatureType, SpaceType
+from docq.domain import SpaceKey
 from llama_index.core.storage import StorageContext
 from opentelemetry import trace
 
-from ..config import ENV_VAR_DOCQ_DATA, OrganisationFeatureType, SpaceType
-from ..domain import SpaceKey
-
 tracer = trace.get_tracer(__name__, docq.__version_str__)
 
 
@@ -128,7 +127,7 @@ def get_upload_file(space: SpaceKey, filename: str) -> str:
 def _map_space_type_to_datascope(space_type: SpaceType) -> _DataScope:
     """Map space type to data scope."""
     data_scope = None
-    if space_type == SpaceType.PERSONAL:
+    if space_type == SpaceType.PERSONAL:  # DEPRECATED. Personal spaces are now shared spaces in the users personal org.
         data_scope = _DataScope.PERSONAL
     elif space_type == SpaceType.SHARED:
         data_scope = _DataScope.SHARED  # TODO: switch to DataScope.ORG. this requires data migration scripts.
@@ -197,7 +196,7 @@ def get_history_table_name(type_: OrganisationFeatureType) -> str:
 
 
 def get_history_thread_table_name(type_: OrganisationFeatureType) -> str:
-    """Get the history table name for a feature."""
+    """Get the thread table name for a feature."""
     # Note that because it's used for database table name, `lower()` is used to ensure it's all lowercase.
     return HISTORY_THREAD_TABLE_NAME.format(feature=type_.name.lower())
 
diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py
index f69cfca0..1f6c9fd6 100644
--- a/tests/integration/__init__.py
+++ b/tests/integration/__init__.py
@@ -1,9 +1,15 @@
 """Integration tests."""
+import os
 
-import logging
 from dotenv import load_dotenv
 
-load_dotenv("pytest.env")
+dotenv_file = "pytest.env"
+if not os.path.isfile(dotenv_file):
+    raise FileNotFoundError(f"Tests: File '{dotenv_file}' not found.")
+
+load_dotenv(dotenv_file)
+print("Loaded pytest.env")
 
+import logging
 
 logging.disable(logging.CRITICAL)
diff --git a/tests/integration/embedding_integration_test.py b/tests/integration/embedding_integration_test.py
index e30d6897..23bb676c 100644
--- a/tests/integration/embedding_integration_test.py
+++ b/tests/integration/embedding_integration_test.py
@@ -3,20 +3,14 @@
 import logging
 import unittest
 from typing import Self
-from unittest.mock import MagicMock, Mock, patch
 
 from docq.config import SpaceType
 from docq.domain import SpaceKey
-from docq.manage_spaces import _create_vector_index, _persist_index, reindex
+from docq.manage_spaces import _create_vector_index, _persist_index
 from docq.model_selection.main import (
-    LLM_SERVICE_INSTANCES,
-    LlmUsageSettings,
-    LlmUsageSettingsCollection,
-    ModelCapability,
     get_model_settings_collection,
 )
 from docq.support import llm
-from llama_index.core.indices import VectorStoreIndex
 from llama_index.core.schema import Document
 
 
diff --git a/tests/integration/run_ask_integration_test.py b/tests/integration/run_ask_integration_test.py
new file mode 100644
index 00000000..d6b34124
--- /dev/null
+++ b/tests/integration/run_ask_integration_test.py
@@ -0,0 +1,51 @@
+from unittest.mock import patch
+
+import pytest
+from docq.config import SpaceType
+from docq.domain import SpaceKey
+from docq.manage_assistants import get_assistant_or_default
+from docq.manage_indices import _create_vector_index
+from docq.model_selection.main import get_model_settings_collection
+from docq.support import llm
+from llama_index.core.base.response.schema import Response
+from llama_index.core.llms import ChatMessage, MessageRole
+from llama_index.core.schema import Document
+
+# NOTE: if you run just this test directly it will fail because the env vars will not load.
+
+
+@pytest.fixture
+def setup_environment():
+    llm._init_local_models()  # download local models needed for embeddings
+
+
+def test_run_ask2_query_pipeline_logic(setup_environment):
+    """Test shared ask against a single space. Tunning a query through the pipeline without mocking."""
+    input_ = "Who is the CEO of banging_the_bang_bang inc?"
+    history = [
+        ChatMessage(role=MessageRole.USER, content="Hello"),
+        ChatMessage(role=MessageRole.ASSISTANT, content="Hi there!"),
+    ]
+
+    assistant = get_assistant_or_default()
+    model_settings_collection = get_model_settings_collection(assistant.llm_settings_collection_key)
+
+    # spaces = cast(List[SpaceKey], [MagicMock(spec=SpaceKey)])
+
+    doc1 = Document(doc_id="1", text="The capital of France is Paris.")
+    doc2 = Document(doc_id="2", text="The capital of Germany is Berlin.")
+    doc2 = Document(
+        doc_id="2", text="Mr bingbongbob is the CEO or banging_the_bang_bang inc. They were established in 1999."
+    )
+    documents = [doc1, doc2]
+
+    result_index = _create_vector_index(documents, model_settings_collection)
+    space1 = SpaceKey(type_=SpaceType.SHARED, id_=9, org_id=9999, summary="test space")
+    spaces = [space1]
+
+    with patch("docq.support.llm.load_indices_from_storage", return_value=[result_index]):
+        response = llm.run_ask2(input_, history, model_settings_collection, assistant, spaces)
+
+        assert isinstance(response, Response)
+        assert response.response is not None
+        assert "bingbongbob" in response.response
diff --git a/tests/unit/docq/support/auth_utils_test.py b/tests/unit/docq/support/auth_utils_test.py
index 0e3ba978..d6440d39 100644
--- a/tests/unit/docq/support/auth_utils_test.py
+++ b/tests/unit/docq/support/auth_utils_test.py
@@ -2,7 +2,7 @@
 import unittest
 from secrets import token_hex
 from typing import Self
-from unittest.mock import Mock, patch
+from unittest.mock import Mock, PropertyMock, patch
 
 from docq.support import auth_utils
 from docq.support.auth_utils import (
@@ -44,10 +44,11 @@ def test_clear_cookie(self: Self, mock_html: Mock) -> None:
         _clear_cookie(SESSION_COOKIE_NAME)
         mock_html.assert_called_once()
 
-    @patch("docq.support.auth_utils._get_websocket_headers")
+    @patch("docq.support.auth_utils.st.context", new_callable=Mock)
     def test_get_cookies(self: Self, mock_headers: Mock) -> None:
         """Test get cookies."""
-        mock_headers.return_value = {"Cookie": "key=value"}
+        # mock_headers.return_value = {"Cookie": "key=value"}
+        mock_headers.headers = {"Cookie": "key=value"}
         result = _get_cookies()
         assert result == {"key": "value"}
 
diff --git a/web/admin/admin_settings.py b/web/admin/admin_settings.py
deleted file mode 100644
index 3d26e644..00000000
--- a/web/admin/admin_settings.py
+++ /dev/null
@@ -1,12 +0,0 @@
-"""Page: Admin / Manage Settings."""
-
-
-from utils.layout import is_super_admin, organisation_settings_ui, system_settings_ui, tracer
-
-
-@tracer.start_as_current_span("admin_settings_page")
-def admin_settings_page() -> None:
-    """Page: Admin / Manage Settings."""
-    organisation_settings_ui()
-    if is_super_admin():
-        system_settings_ui()
diff --git a/web/api/chat_completion_handler.py b/web/api/chat_completion_handler.py
index 0863ea00..0bf79449 100644
--- a/web/api/chat_completion_handler.py
+++ b/web/api/chat_completion_handler.py
@@ -11,7 +11,7 @@
 from tornado.web import HTTPError
 
 from web.api.base_handlers import BaseRequestHandler
-from web.api.models import MessageResponseModel
+from web.api.models import MessagesResponseModel
 from web.api.utils.auth_utils import authenticated
 from web.api.utils.docq_utils import get_message_object
 from web.api.utils.pydantic_utils import CamelModel
@@ -97,7 +97,7 @@ def post(self: Self) -> None:
                 assistant=assistant,
             )
             messages = list(map(get_message_object, result))
-            response_model = MessageResponseModel(response=messages, meta={"model_settings": model_usage_settings.key})
+            response_model = MessagesResponseModel(response=messages, meta={"model_settings": model_usage_settings.key})
 
             self.write(response_model.model_dump())
 
diff --git a/web/api/hello_handler.py b/web/api/hello_handler.py
index 081008aa..54e75ebd 100644
--- a/web/api/hello_handler.py
+++ b/web/api/hello_handler.py
@@ -27,4 +27,4 @@ def check_xsrf_cookie(self) -> bool:
     def get(self: Self) -> None:
         """Handle GET request."""
         response = ResponseModel(response="Hello World!")
-        self.write(response.model_dump())
+        self.write(response.model_dump(by_alias=True))
diff --git a/web/api/models.py b/web/api/models.py
index 09a49923..280c9794 100644
--- a/web/api/models.py
+++ b/web/api/models.py
@@ -1,53 +1,102 @@
 """API models."""
 
-from typing import Literal, Optional
+from abc import ABC
+from typing import Any, Literal, Optional
 
 from pydantic import BaseModel, Field
 
-SPACE_TYPE = Literal["personal", "shared", "public", "thread"]
+from .utils.pydantic_utils import CamelModel
+
+SPACE_TYPE = Literal["PERSONAL", "SHARED", "PUBLIC", "THREAD"]
 FEATURE = Literal["rag", "chat"]
 
 class UserModel(BaseModel):
-    """Pydantic model for user data."""
+    """Pydantic model for a user data."""
 
     uid: int
     fullname: str
     super_admin: bool
     username: str
 
-class MessageModel(BaseModel):
-    """Pydantic model for message data."""
+class MessageModel(CamelModel):
+    """Pydantic model for a message data."""
+
     id_: int = Field(..., alias="id")
     content: str
     human: bool
     timestamp: str
     thread_id: int
 
-class MessageResponseModel(BaseModel):
-    """Pydantic model for the response body."""
-    response: list[MessageModel]
-    meta: Optional[dict[str,str]] = None
 
-class ChatHistoryModel(BaseModel):
-    """Pydantic model for chat history."""
-    response : list[MessageModel]
+class ThreadModel(CamelModel):
+    """Model for a Thread."""
 
-class ThreadModel(BaseModel):
-    """Pydantic model for the response body."""
     id_: int = Field(..., alias="id")
     topic: str
     created_at: str
 
-class SpaceModel(BaseModel):
-    """Pydantic model for the response body."""
-    id_: int = Field(..., alias="id")
+
+class ThreadHistoryModel(CamelModel):
+    """Model for a Thread with it's history messages."""
+
+    messages: list[MessageModel]
+
+
+class SpaceModel(CamelModel):
+    """Model for a Space."""
+
+    id_: int = Field(..., alias="id", serialization_alias="id")
+    org_id: int
+    name: str
+    summary: str
+    datasource_type: str
     space_type: SPACE_TYPE
     created_at: str
+    updated_at: str
+
+
+class BaseResponseModel(CamelModel, ABC):
+    """All HTTP API response models should inherit from this class."""
+
+    response: Any
+
+
+class MessagesResponseModel(BaseResponseModel):
+    """HTTP response model for a **list** of Message."""
+
+    response: list[MessageModel]
+    meta: Optional[dict[str, str]] = None
+
+
+class ThreadsResponseModel(BaseResponseModel):
+    """HTTP response model for a **list** of Thread."""
 
-class ThreadResponseModel(BaseModel):
-    """Pydantic model for the response body."""
     response: list[ThreadModel]
 
-class ThreadPostRequestModel(BaseModel):
+class ThreadResponseModel(BaseResponseModel):
+    """HTTP response model for a single Thread."""
+
+    response: ThreadModel
+
+
+class ThreadHistoryResponseModel(BaseResponseModel):
+    """HTTP response model for a single Thread with history messages."""
+
+    response: ThreadHistoryModel
+
+
+class SpaceResponseModel(BaseResponseModel):
+    """HTTP response model for a single Space."""
+
+    response: SpaceModel
+
+
+class SpacesResponseModel(BaseResponseModel):
+    """HTTP response model for a **list** of Space."""
+
+    response: list[SpaceModel]
+
+
+class ThreadPostRequestModel(CamelModel):
     """Pydantic model for the request body."""
     topic: str
diff --git a/web/api/rag_completion_handler.py b/web/api/rag_completion_handler.py
index 432acd64..e276321f 100644
--- a/web/api/rag_completion_handler.py
+++ b/web/api/rag_completion_handler.py
@@ -1,17 +1,21 @@
 """Handle /api/rag/completion requests."""
+import logging
 from typing import Optional, Self
 
 import docq.run_queries as rq
-from docq.manage_assistants import get_assistant_fixed
-from docq.manage_spaces import get_thread_space
-from docq.model_selection.main import get_model_settings_collection, get_saved_model_settings_collection
+from docq import manage_spaces
+from docq.config import OrganisationFeatureType, SpaceType
+from docq.domain import FeatureKey, SpaceKey
+from docq.manage_assistants import get_assistant_or_default
+from docq.manage_spaces import get_shared_spaces
+from docq.model_selection.main import get_model_settings_collection
 from opentelemetry import trace
 from pydantic import Field, ValidationError
 from tornado.web import HTTPError
 
 from web.api.base_handlers import BaseRequestHandler
-from web.api.models import MessageResponseModel
-from web.api.utils.docq_utils import get_feature_key, get_message_object
+from web.api.models import MessagesResponseModel
+from web.api.utils.docq_utils import get_message_object
 from web.utils.streamlit_application import st_app
 
 from .utils.auth_utils import authenticated
@@ -21,11 +25,13 @@
 
 
 class PostRequestModel(CamelModel):
-    """Pydantic model for the request body."""
+    """Pydantic model for the RAG completion request."""
+
     input_: str = Field(..., alias="input")
     thread_id: int
-    llm_settings_collection_name: Optional[str] = Field(None)
-    assistant_key: Optional[str] = Field(None)
+    assistant_scoped_id: str
+    space_ids: Optional[list[int]] = Field(None)  # for now only shared spaces are supported
+
 
 @tracer.start_as_current_span(name="RagCompletionHandler")
 @st_app.api_route("/api/v1/rag/completion")
@@ -34,33 +40,70 @@ class RagCompletionHandler(BaseRequestHandler):
 
     @authenticated
     def post(self: Self) -> None:
-        """Handle POST request."""
+        """Handle RAG completion request."""
         try:
-            feature = get_feature_key(self.current_user.uid)
+            feature = FeatureKey(
+                type_=OrganisationFeatureType.ASK_SHARED, id_=self.current_user.uid
+            )  # get_feature_key(self.current_user.uid)
+            # request_json = json.loads(self.request.body)
             request_model = PostRequestModel.model_validate_json(self.request.body)
-            self.thread_space = request_model.thread_id
-            collection_key = request_model.llm_settings_collection_name
-            model_settings_collection = get_model_settings_collection(collection_key) if collection_key else get_saved_model_settings_collection(self.selected_org_id)
-            assistant_key = request_model.assistant_key if request_model.assistant_key else "default"
-            assistant = get_assistant_fixed(model_settings_collection.key)[assistant_key]
+            print("request_model:", request_model)
+
+            if request_model.assistant_scoped_id:
+                # assistant = get_assistant_fixed(model_settings_collection.key)[assistant_key]
+                assistant = get_assistant_or_default(request_model.assistant_scoped_id, self.selected_org_id)
+
             if not assistant:
-                raise HTTPError(400, "Invalid assistant key")
-            space = get_thread_space(self.selected_org_id, request_model.thread_id)
-            if space is None:
-                raise HTTPError(404, reason="Space not available")
+                raise HTTPError(400, reason="Invalid assistant_scoped_id")
+
+            space_exists = manage_spaces.thread_space_exists(thread_id=request_model.thread_id)
+
+            thread_space = None
+            if space_exists:
+                # space exists globally, check if it's in this org_id
+                thread_space = manage_spaces.get_thread_space(self.selected_org_id, request_model.thread_id)
+
+            # thread_space = get_thread_space(self.selected_org_id, request_model.thread_id)
+
+            if thread_space is None:
+                raise HTTPError(404, reason="This threads Thread Space not available")
+
+            space_keys = []
+            if request_model.space_ids:
+                spaces = get_shared_spaces(space_ids=request_model.space_ids)
+                space_keys = [SpaceKey(id_=space[0], org_id=space[1], type_=SpaceType.SHARED) for space in spaces]
+
+            print("space_keys:", space_keys)
+            if not manage_spaces.is_space_empty(thread_space):
+                # is empty i.e. no docs then theirs no index so ignore thread_space
+                space_keys.append(thread_space)
+
+            model_settings_collection = get_model_settings_collection(assistant.llm_settings_collection_key)
+
             result = rq.query(
                 input_=request_model.input_,
                 feature=feature,
                 thread_id=request_model.thread_id,
                 model_settings_collection=model_settings_collection,
                 assistant=assistant,
-                spaces=[space],
+                spaces=space_keys,
             )
 
             if result:
                 messages = list(map(get_message_object, result))
-                self.write(MessageResponseModel(response=messages).model_dump_json())
+                self.write(MessagesResponseModel(response=messages).model_dump(by_alias=True))
             else:
-                raise HTTPError(500, "Internal server error")
+                raise HTTPError(500, reason="Internal server error", log_message="Internal server error")
         except ValidationError as e:
-            raise HTTPError(400, "Invalid request body") from e
+            logging.error("ValidationError:", e)
+            raise HTTPError(
+                400,
+                reason="Invalid request body",
+                log_message=f"POST payload failed request model Pydantic validation. Error: {e}",
+            ) from e
+        except ValueError as e:
+            logging.error("ValueError:", e)
+            raise HTTPError(400, reason=f"Bad request. {e}", log_message=str(e)) from e
+        except Exception as e:
+            logging.error("Exception:", e)
+            raise HTTPError(500, reason="Internal server error", log_message=str(e)) from e
diff --git a/web/api/spaces_handler.py b/web/api/spaces_handler.py
index 15ce91e1..a805657e 100644
--- a/web/api/spaces_handler.py
+++ b/web/api/spaces_handler.py
@@ -5,11 +5,12 @@
 import docq.run_queries as rq
 from docq.data_source.list import SpaceDataSources
 from docq.manage_documents import upload
+from py import log
 from pydantic import BaseModel, ValidationError
 from tornado.web import HTTPError
 
 from web.api.base_handlers import BaseRequestHandler
-from web.api.models import SPACE_TYPE
+from web.api.models import SPACE_TYPE, SpaceModel, SpacesResponseModel
 from web.api.utils.auth_utils import authenticated
 from web.api.utils.docq_utils import get_feature_key, get_space
 from web.utils.streamlit_application import st_app
@@ -27,13 +28,27 @@ class PostRequestModel(BaseModel):
 class PostResponseModel(BaseModel):
     """Post response model."""
 
+    # TODO: replace the use of this with SpaceResponseModel where needed.
     thread_id: Optional[int] = None
     space_value: str
 
+def _map_to_space_model(space: tuple) -> SpaceModel:
+    # [0 id , 1 org_id, 2 name, 3 summary, 4 archived, 5 datasource_type, 6 datasource_configs, 7 space_type, 8 created_at, 9 updated_at]
+    return SpaceModel(
+        id=space[0],
+        org_id=space[1],
+        name=space[2],
+        summary=space[3],
+        datasource_type=space[5],
+        space_type=space[7],
+        created_at=space[8].strftime("%Y-%m-%d %H:%M:%S"),
+        updated_at=space[9].strftime("%Y-%m-%d %H:%M:%S"),
+    )
+
 
 @st_app.api_route("/api/v1/spaces")
 class SpacesHandler(BaseRequestHandler):
-    """Handle /api/spaces requests."""
+    """Handle /api/v1/spaces action requests."""
 
     @authenticated
     def post(self: Self) -> None:
@@ -63,6 +78,27 @@ def post(self: Self) -> None:
         except ValidationError as e:
             raise HTTPError(400, reason="Bad request") from e
 
+    @authenticated
+    def get(self: Self) -> None:
+        """Handle GET request: get list of Spaces.
+
+        query params:
+            space_type: str shared, thread, public
+        """
+        try:
+            space_type = self.get_query_argument("space_type", None)
+
+            print("space_type", space_type)
+            spaces = m_spaces.list_space(self.selected_org_id, space_type)
+            print("spaces", spaces)
+            space_model_list: list[SpaceModel] = [_map_to_space_model(space) for space in spaces]
+
+            spaces_response_model = SpacesResponseModel(response=space_model_list)
+            self.write(spaces_response_model.model_dump(by_alias=True))
+        except Exception as e:
+            log.error("Error: ", e)
+            raise HTTPError(500, reason="Internal server error", log_message=f"Error: {str(e)}") from e
+
 
 @st_app.api_route("/api/v1/spaces/{space_id}")
 class SpaceHandler(BaseRequestHandler):
diff --git a/web/api/threads_handler.py b/web/api/threads_handler.py
index ef2c94a5..7a5fc2e2 100644
--- a/web/api/threads_handler.py
+++ b/web/api/threads_handler.py
@@ -1,6 +1,6 @@
 """Handle chat and rag threads."""
 from datetime import datetime
-from typing import Literal, Self
+from typing import Self
 
 import docq.run_queries as rq
 from docq.domain import SpaceKey
@@ -13,13 +13,22 @@
 from tornado.web import HTTPError
 
 from web.api.base_handlers import BaseRequestHandler
-from web.api.models import FEATURE, ChatHistoryModel, ThreadModel, ThreadPostRequestModel, ThreadResponseModel
+from web.api.models import (
+    FEATURE,
+    ThreadHistoryModel,
+    ThreadHistoryResponseModel,
+    ThreadModel,
+    ThreadPostRequestModel,
+    ThreadResponseModel,
+    ThreadsResponseModel,
+)
 from web.api.utils.auth_utils import authenticated
 from web.api.utils.docq_utils import get_feature_key, get_message_object, get_thread_space
 from web.utils.streamlit_application import st_app
 
 
 def _get_thread_object(result: tuple) -> dict:
+    # TODO: when we refactor the data layer to return data model classes instead of tuples, we can remove this function
     return {"id": result[0], "topic": result[1], "created_at": str(result[2])}
 
 
@@ -41,7 +50,7 @@ def get(self: Self, feature_: FEATURE) -> None:
             order: Literal["asc", "desc"] - The order of the items.
 
         Response:
-            ThreadResponseModel - Response object model.
+            ThreadsResponseModel - Response object model.
         """
         feature = get_feature_key(self.current_user.uid, feature_)
 
@@ -51,7 +60,7 @@ def get(self: Self, feature_: FEATURE) -> None:
                 [ThreadModel(**_get_thread_object(threads[i])) for i in range(len(threads))] if len(threads) > 0 else []
             )
             response = (
-                ThreadResponseModel(response=thread_response).model_dump()
+                ThreadsResponseModel(response=thread_response).model_dump(by_alias=True)
                 if len(thread_response) > 0
                 else {"response": []}
             )
@@ -62,7 +71,7 @@ def get(self: Self, feature_: FEATURE) -> None:
 
     @authenticated
     def post(self: Self, feature_: FEATURE) -> None:
-        """Handle POST request.
+        """POST: Handle creating a new Thread.
 
         Request Body:
             topic: str - Thread topic, A brief description of what the thread is about.
@@ -76,7 +85,9 @@ def post(self: Self, feature_: FEATURE) -> None:
             request = ThreadPostRequestModel.model_validate_json(self.request.body)
             thread_id = rq.create_history_thread(request.topic, feature)
             thread = rq.list_thread_history(feature, thread_id)
-            self.write(ThreadResponseModel(response=[ThreadModel(**_get_thread_object(thread[0]))]).model_dump())
+            self.write(
+                ThreadResponseModel(response=ThreadModel(**_get_thread_object(thread[0]))).model_dump(by_alias=True)
+            )
 
         except ValidationError as e:
             raise HTTPError(status_code=400, reason="Invalid request body", log_message=str(e)) from e
@@ -98,31 +109,38 @@ def get(self: Self, feature_: FEATURE, thread_id: int) -> None:
 
         try:
             thread = rq.list_thread_history(feature, thread_id)
-            thread_response = [ThreadModel(**_get_thread_object(thread[0]))] if len(thread) > 0 else []
+            thread_response = ThreadModel(**_get_thread_object(thread[0])) if len(thread) > 0 else None
 
-            response = (
-                ThreadResponseModel(response=thread_response).model_dump()
-                if len(thread_response) > 0
-                else {"response": []}
-            )
+            if not thread_response:
+                raise HTTPError(404, reason="Thread not found.")
+
+            response = ThreadResponseModel(response=thread_response).model_dump(by_alias=True)
             self.write(response)
 
         except ValidationError as e:
             raise HTTPError(status_code=400, reason="Bad request", log_message=str(e)) from e
 
     @authenticated
-    def delete(self: Self, feature: Literal["rag", "chat"], thread_id: str) -> None:
-        """Handle POST request."""
-        self.feature = feature
-
-        raise HTTPError(status_code=501, reason="Not implemented")
+    def delete(self: Self, feature_: FEATURE, thread_id: str) -> None:
+        """Handle DELETE request."""
+        feature = get_feature_key(self.current_user.uid, feature_)
+        thread_exists = rq.thread_exists(int(thread_id), self.current_user.uid, feature.type_)
+        is_deleted = False
+        if thread_exists:
+            is_deleted = rq.delete_thread(int(thread_id), feature)
+
+        if is_deleted:
+            self.set_status(200)
+        elif not thread_exists:
+            raise HTTPError(status_code=404, reason="Thread not found.")
+        else:
+            raise HTTPError(status_code=500, reason="Internal server error")
 
     @authenticated
-    def update(self: Self, feature: Literal["rag", "chat"], thread_id: str) -> None:
+    def update(self: Self, feature_: FEATURE, thread_id: str) -> None:
         """Handle POST request."""
-        self.feature = feature
 
-        raise HTTPError(status_code=501, reason="Not implemented")
+        raise HTTPError(status_code=501, reason="Update thread - Not implemented")
 
 
 @st_app.api_route("/api/v1/{feature}/threads/{thread_id}/history")
@@ -136,20 +154,32 @@ class ThreadHistoryHandler(BaseRequestHandler):
 
     @authenticated
     def get(self: Self, feature_: FEATURE, thread_id: str) -> None:
-        """Handle GET request."""
+        """GET: history messages for a thread."""
         feature = get_feature_key(self.current_user.uid, feature_)
         page = self.get_argument("page", "1")  # noqa: F841
         page_size = self.get_argument("page_size", "10")
         order = self.get_argument("order", "desc")
 
         try:
-            chat_history = rq._retrieve_messages(
+            thread = rq.list_thread_history(feature, int(thread_id))
+            if not len(thread) > 0:
+                raise HTTPError(status_code=404, reason="Thread not found")
+
+            thread_history = rq._retrieve_messages(
                 datetime.now(), int(page_size), feature, int(thread_id), "ASC" if order == "asc" else "DESC"
             )
-            messages = list(map(get_message_object, chat_history))
-            self.write(ChatHistoryModel(response=messages).model_dump())
+
+            messages = list(map(get_message_object, thread_history))
+            thread_history_model = ThreadHistoryModel(**_get_thread_object(thread[0]), messages=messages)
+
+            thread_history_response = ThreadHistoryResponseModel(response=thread_history_model)
+
+            self.write(thread_history_response.model_dump(by_alias=True))
         except ValidationError as e:
+            print("ValidationError: ", e)
             raise HTTPError(status_code=400, reason="Invalid page or limit") from e
+        except Exception as e:
+            raise HTTPError(status_code=500, reason="Internal server error") from e
 
 
 @st_app.api_route("/api/v1/rag/threads/{thread_id}/top-questions")
@@ -161,7 +191,7 @@ def _load_index(self: Self, space: SpaceKey, model_settings_collection: LlmUsage
         storage_context = _get_storage_context(space)  # FIXME: _get_storage_context should not be called directly here.
         service_context = _get_service_context(
             model_settings_collection
-        )  # FIXME: _get_storage_context should not be called directly here.
+        )  # FIXME: _get_service_context should not be called directly here.
         return load_index_from_storage(storage_context=storage_context, service_context=service_context)
 
     def get_summary_questions(self: Self, thread_space: SpaceKey) -> dict:
diff --git a/web/api/token_handler.py b/web/api/token_handler.py
index 39ebf4c3..462ad186 100644
--- a/web/api/token_handler.py
+++ b/web/api/token_handler.py
@@ -18,7 +18,6 @@
 def _get_user_dict(result: tuple) -> dict:
     return {"uid": result[0], "fullname": result[1], "super_admin": result[2], "username": result[3]}
 
-
 class TokenRequestModel(BaseModel):
     """Token request model."""
 
@@ -67,7 +66,7 @@ def post(self: Self) -> None:
             result = m_users.authenticate(request.username, request.password)
             if not result:
                 raise HTTPError(401, reason="Unauthorized", log_message="Invalid username or password")
-
+            print("token user: ", result)
             user = UserModel(**_get_user_dict(result))
             token = encode_jwt(user)
             if not token:
@@ -101,14 +100,14 @@ class TokenValidationHandler(BaseRequestHandler):
     """Token validation handler endpoint for the API. /api/token/validate handler. Check if the token sent is valid + unexpired."""
 
     def post(self: Self) -> None:
-        """Handle GET requests."""
+        """Handle POST request to validate an access token."""
         try:
             request = TokenValidationRequestModel.model_validate_json(self.request.body)
             user = decode_jwt(request.token, check_expired=True)
             if not user:
                 raise HTTPError(401, reason="Unauthorized", log_message="Invalid token")
 
-            self.write("OK")
+            self.set_status(200)
         except ValidationError as e:
             raise HTTPError(400, reason="Bad request") from e
 
@@ -132,7 +131,9 @@ def post(self: Self) -> None:
             if not token:
                 raise HTTPError(500, reason="Internal server error", log_message="Failed to generate token")
 
-            response = TokenResponseModel(access_token=token, expires_in=3600, refresh_token=token).model_dump_json()
+            response = TokenResponseModel(access_token=token, expires_in=3600, refresh_token=token).model_dump_json(
+                by_alias=True
+            )
             self.write(response)
         except ValidationError as e:
             raise HTTPError(400, reason="Bad request") from e
diff --git a/web/api/utils/auth_utils.py b/web/api/utils/auth_utils.py
index c99e11ae..c48bbd76 100644
--- a/web/api/utils/auth_utils.py
+++ b/web/api/utils/auth_utils.py
@@ -30,8 +30,6 @@ def authenticated(method: Callable[..., Any]) -> Callable[..., Any]:
     def wrapper(self: BaseRequestHandler, *args: Any, **kwargs: Any) -> Any:
         with tracer.start_as_current_span("authenticated") as span:
             span = trace.get_current_span()
-            print("authenticated() called")
-
             api_key = self.request.headers.get("x-api-key", None)
             auth_header = self.request.headers.get("Authorization", None)
             authentication_successful = False
@@ -86,7 +84,7 @@ def wrapper(self: BaseRequestHandler, *args: Any, **kwargs: Any) -> Any:
                 )
 
             if authentication_successful:
-                print(f"authenticated() successful {authentication_successful}")
+                # print(f"authenticated() successful {authentication_successful}")
                 # carry on and call the actual request handler method that was decorated with @authenticated
                 return method(self, *args, **kwargs)
 
@@ -103,7 +101,7 @@ def encode_jwt(data: UserModel) -> Optional[str]:
             "exp": get_int_from_datetime(datetime.now(tz=timezone.utc) + timedelta(hours=23)),
             "nbf": get_int_from_datetime(datetime.now(tz=timezone.utc)),
             "iat": get_int_from_datetime(datetime.now(tz=timezone.utc)),
-            "data": data.model_dump(),
+            "data": data.model_dump(by_alias=True),
         }
         key = jwk_from_pem(get_key("private"))
         return INSTANCE.encode(payload, key, alg="RS256")
@@ -133,7 +131,7 @@ def validate_api_key(key: str) -> bool:
     is_valid = False
     secret = os.environ.get(ENV_VAR_DOCQ_API_SECRET, None)
 
-    if secret is not None or secret != "":
+    if secret is not None and secret != "":
         is_valid = key.strip() == str(secret).strip()
     print("is_valid: ", is_valid)
     return is_valid
diff --git a/web/api/utils/pydantic_utils.py b/web/api/utils/pydantic_utils.py
index 978e68f3..93b85fc3 100644
--- a/web/api/utils/pydantic_utils.py
+++ b/web/api/utils/pydantic_utils.py
@@ -1,70 +1,76 @@
-"""Utilities for the API handlers."""
-import re
-from typing import Any, Iterable, Mapping
+"""Pydantic utilities and config."""
 
-from pydantic import BaseModel
+from pydantic import AliasGenerator, BaseModel
+from pydantic.alias_generators import to_camel
 
-UNDERSCORE_RE = re.compile(r"(?<=[^\-_])[\-_]+[^\-_]")
+# UNDERSCORE_RE = re.compile(r"(?<=[^\-_])[\-_]+[^\-_]")
 
 
-def _process_keys(str_or_iter: str | Iterable, fn: Any) -> str | Iterable:
-    """Recursively process keys in a string, dict, or list of dicts."""
-    if isinstance(str_or_iter, list):
-        return [_process_keys(k, fn) for k in str_or_iter]
-    if isinstance(str_or_iter, Mapping):
-        return {fn(k): _process_keys(v, fn) for k, v in str_or_iter.items()}
-    return str_or_iter
+# def _process_keys(str_or_iter: str | Iterable, fn: Any) -> str | Iterable:
+#     """Recursively process keys in a string, dict, or list of dicts."""
+#     if isinstance(str_or_iter, list):
+#         return [_process_keys(k, fn) for k in str_or_iter]
+#     if isinstance(str_or_iter, Mapping):
+#         return {fn(k): _process_keys(v, fn) for k, v in str_or_iter.items()}
+#     return str_or_iter
 
 
-def _is_none(_in: Any) -> str:
-    """Determine if the input is None and returns a string with white-space removed.
+# def _is_none(_in: Any) -> str:
+#     """Determine if the input is None and returns a string with white-space removed.
 
-    :param _in: input.
+#     :param _in: input.
 
-    :return:
-        an empty sting if _in is None,
-        else the input is returned with white-space removed
-    """
-    return "" if _in is None else re.sub(r"\s+", "", str(_in))
+#     :return:
+#         an empty sting if _in is None,
+#         else the input is returned with white-space removed
+#     """
+#     return "" if _in is None else re.sub(r"\s+", "", str(_in))
 
 
-def camelize(str_or_iter: str | Iterable) -> str | Iterable:
-    """Convert a string, dict, or list of dicts to camel case.
+# def camelize(str_or_iter: str | Iterable) -> str | Iterable:
+#     """Convert a string, dict, or list of dicts to camel case.
 
-    Source: https://github.com/nficano/humps/blob/master/humps/main.py
+#     Source: https://github.com/nficano/humps/blob/master/humps/main.py
 
-    :param str_or_iter:
-        A string or iterable.
-    :type str_or_iter: Union[list, dict, str]
-    :rtype: Union[list, dict, str]
-    :returns:
-        camelized string, dictionary, or list of dictionaries.
-    """
-    if isinstance(str_or_iter, (list, Mapping)):
-        return _process_keys(str_or_iter, camelize)
+#     :param str_or_iter:
+#         A string or iterable.
+#     :type str_or_iter: Union[list, dict, str]
+#     :rtype: Union[list, dict, str]
+#     :returns:
+#         camelized string, dictionary, or list of dictionaries.
+#     """
+#     if isinstance(str_or_iter, (list, Mapping)):
+#         return _process_keys(str_or_iter, camelize)
 
-    s = _is_none(str_or_iter)
-    if s.isupper() or s.isnumeric():
-        return str_or_iter
+#     s = _is_none(str_or_iter)
+#     if s.isupper() or s.isnumeric():
+#         return str_or_iter
 
-    if len(s) != 0 and not s[:2].isupper():
-        s = s[0].lower() + s[1:]
+#     if len(s) != 0 and not s[:2].isupper():
+#         s = s[0].lower() + s[1:]
 
-    # For string "hello_world", match will contain
-    #             the regex capture group for "_w".
-    return UNDERSCORE_RE.sub(lambda m: m.group(0)[-1].upper(), s)
+#     # For string "hello_world", match will contain
+#     #             the regex capture group for "_w".
+#     return UNDERSCORE_RE.sub(lambda m: m.group(0)[-1].upper(), s)
 
 
-def to_camel(string: str) -> str | Iterable:
-    """Convert a string to camel case."""
-    return camelize(string)
+# def to_camel(string: str) -> str | Iterable:
+#     """Convert a string to camel case."""
+#     return camelize(string)
 
 
 class CamelModel(BaseModel):
-    """Pydantic model that generated camelCase alias from snake_case field names."""
+    """Pydantic BaseModel configured to generate camel case serialization aliases for all fields on models that inherit from this class.
+
+    Model classes can be instantiated with either camel case or original field names.
+
+    Use model_dump(by_alias=True) to serialize the model with the serialization aliases i.e. camel case field names.
+    """
 
     class Config:
         """Pydantic model configuration."""
 
-        alias_generator = to_camel
-        population_by_name = True
+        alias_generator = AliasGenerator(
+            alias=to_camel,
+        )
+        populate_by_name = True  # Allow population by alias and original field name
diff --git a/web/index.py b/web/index.py
index dd372819..a0746937 100644
--- a/web/index.py
+++ b/web/index.py
@@ -1,105 +1,98 @@
-"""Page: Home (no auth required)."""
-
+"""Streamlit entry point for the web app."""
 
+import docq
 import streamlit as st
-
-#from docq_extensions.web.layout import subscriptions
-from st_pages import Page, Section, show_pages
-from utils.handlers import (
-    handle_fire_extensions_callbacks,  # noqa F401 don't remove this line, it's used to register api routes
-)
+from streamlit.navigation.page import StreamlitPage
 from utils.layout import (
-    auth_required,
+    __logout_button,
     init_with_pretty_error_ui,
     org_selection_ui,
     production_layout,
-    public_access,
-    render_docq_logo,
-    render_page_title_and_favicon,
 )
 from utils.observability import baggage_as_attributes, tracer
+from utils.sessions import is_current_user_authenticated, is_current_user_selected_org_admin
+from utils.streamlit_application import st_app
+from utils.streamlit_page_extension import StreamlitPageExtension as StPage
 
-import web.api.index_handler  # noqa F401 don't remove this line, it's used to register api routes
+import web.api.index_handler  # noqa: F401 don't remove this line, it registers API routes
 
-with tracer().start_as_current_span("home_page", attributes=baggage_as_attributes()):
-    render_docq_logo()
-
-    render_page_title_and_favicon(
-        page_display_title=":violet[Your private ChatGPT alternative].",
-        browser_title="Docq.AI - Private ChatGPT alternative.",
-    )
+st_app.print_registered_routes()
 
+with tracer().start_as_current_span("index", attributes=baggage_as_attributes()):
     init_with_pretty_error_ui()
     production_layout()
 
     with st.sidebar:
+        st.logo(image="web/static/docq-v2_1-word-mark.jpg")
         org_selection_ui()
 
-    show_pages(
-        [
-            Page("web/index.py", "Home"),
-            Page("web/signup.py", "signup"),
-            Page("web/verify.py", "verify"),
-            Page("web/personal_chat.py", "General_Chat"),
-            Page("web/shared_ask.py", "Ask_Shared_Documents"),
-            Page("web/shared_spaces.py", "List_Shared_Spaces"),
-            Page("web/embed.py", "widget"),
-            Page(
-                "web/admin_spaces.py", "Admin_Spaces"
-            ),  # Do not remove: This is used as the G Drive data source integration auth redirect page
-            Page("web/admin/index.py", "Admin_Section", icon="💂"),
-            Section("ML Engineering", icon="💻"),
-            Page("web/ml_eng_tools/assistants.py", "Assistants"),
-            Page("web/ml_eng_tools/visualise_index.py", "Visualise Index"),
-            Page("web/ml_eng_tools/rag.py", "RAG"),
-            Page("web/ml_eng_tools/visualise_agent_messages.py", "Visualise Agent Messages"),
-        ]
+    public_access = [
+        StPage(page="page_handlers/home.py", title="Home", default=True),
+        StPage(page="page_handlers/signup.py", title="signup", url_path="signup", hidden=True),
+        StPage(page="page_handlers/verify.py", title="verify", url_path="verify", hidden=True),
+        StPage(page="page_handlers/embed.py", title="widget", hidden=True),
+    ]
+
+    authenticated_access = [
+        StPage(page="page_handlers/personal_chat.py", title="General Chat", url_path="General_Chat"),
+        StPage(page="page_handlers/shared_ask.py", title="Ask Shared Documents", url_path="Ask_Shared_Documents"),
+        StPage(page="page_handlers/shared_spaces.py", title="List Shared Spaces", url_path="List_Shared_Spaces"),
+    ]
+
+    org_admin_access = [
+        StPage(
+            page="page_handlers/admin_spaces.py", title="Admin_Spaces", url_path="Admin_Spaces", hidden=True
+        ),  # Do not remove: This is used as the G Drive data source integration auth redirect page
+        StPage(page="page_handlers/admin/index.py", title="Admin Section", url_path="Admin_Section", icon="💂"),
+        "🤖&nbsp;&nbsp;Tools",
+        StPage(page="page_handlers/ml_eng_tools/assistants.py", title="Assistants", url_path="Assistants"),
+        StPage(
+            page="page_handlers/ml_eng_tools/visualise_index.py",
+            title="Visualise Index",
+            url_path="Visualise_Index",
+        ),
+        StPage(page="page_handlers/ml_eng_tools/rag.py", title="RAG", url_path="RAG"),
+        StPage(
+            page="page_handlers/ml_eng_tools/visualise_agent_messages.py",
+            title="Visualise Agent Messages",
+            url_path="Visualise_Agent_Messages",
+        ),
+    ]
+
+    pages = []
+    pages.extend(public_access)
+
+    if is_current_user_authenticated():
+        pages.extend(authenticated_access)
+
+    if is_current_user_selected_org_admin():
+        pages.extend(org_admin_access)
+
+    sidebar = st.sidebar
+
+    # TODO: this can move into a component function
+    for page in pages:
+        if isinstance(page, str):  # handle section headers. TODO: change this to a class with icon etc.
+            sidebar.write("&nbsp;&nbsp;" + page)
+
+        if isinstance(page, StPage):  # noqa: SIM102
+            if not page.hidden:
+                sidebar.page_link(page, icon=page.icon if page.icon else None)
+
+    pages = [page for page in pages if isinstance(page, StreamlitPage)]  # remove the section headers
+    pg = st.navigation(
+        pages=pages,  # type: ignore
+        position="hidden",
     )
-
-    public_access()
-
-    login_container = st.container()
-
-    st.subheader("Secure unlock knowledge from your confidential business documents.")
-
-    st.markdown("Upload a document. Ask questions. Get answers. It's that simple!")
-
-    st.subheader("Guide")
-    st.markdown(
-        """
-    - **_General Chat_** to use Docq like ChatGPT.
-    - **_Ask Shared Documents_** to ask questions and get answers from documents shared within your organisation as a Space.
-    - **_Admin Section_ > _Admin Spaces_** to create a new Space, add documents, and share with your organisation.
-    """
-    )
-
-    st.subheader("Tips & Tricks")
-    st.markdown(
-        """
-    - Always ask questions in plain English and try to be as specific as possible.
-    - Admins can manage the documents in a Space which sets the context for your questions.
-    - Every user also has a personal organisation so you can create Spaces that are personal knowledge repositories.
-    - Your access to shared spaces is subject to permissions set by your organisation admin.
-    - For any questions or feedback, please contact your organisation's Docq administrator.
-
-    Enjoy Docq!
-    """
-    )
-
-    st.divider()
-    st.markdown(
-        """
-    [Website](https://docq.ai) | Star on [Github](https://github.com/docqai) | Follow on [Twitter](https://twitter.com/docqai)
-        """
-    )
-
-    st.markdown(
-        """
-    For help: [Docs](https://docqai.github.io/docq/) | Join [Slack](https://join.slack.com/t/docqai/shared_invite/zt-27p17lu6v-6KLJxSmt61vfNqCavSE73A) | Email [hi@docqai.com](mailto:hi@docqai.com)
-        """
-    )
-
-    handle_fire_extensions_callbacks("webui.home_page.render_footer", None)
-
-    with login_container:
-        auth_required(show_login_form=True, requiring_selected_org_admin=False, show_logout_button=True)
+    if is_current_user_authenticated():
+        st.sidebar.divider()
+        sidebar_dynamic_section = sidebar.container()
+        # hold a reference in session state so we can add elements to the sidebar
+        # in between the menu options and logout button from other pages.
+        st.session_state["sidebar_dynamic_section"] = sidebar_dynamic_section
+        st.sidebar.divider()
+
+        __logout_button()
+        st.sidebar.write(f"v{docq.__version_str__}")
+
+    pg.run()
diff --git a/web/admin/admin_integrations.py b/web/page_handlers/admin/admin_integrations.py
similarity index 100%
rename from web/admin/admin_integrations.py
rename to web/page_handlers/admin/admin_integrations.py
diff --git a/web/admin/admin_logs.py b/web/page_handlers/admin/admin_logs.py
similarity index 100%
rename from web/admin/admin_logs.py
rename to web/page_handlers/admin/admin_logs.py
diff --git a/web/admin/admin_orgs.py b/web/page_handlers/admin/admin_orgs.py
similarity index 100%
rename from web/admin/admin_orgs.py
rename to web/page_handlers/admin/admin_orgs.py
diff --git a/web/page_handlers/admin/admin_settings.py b/web/page_handlers/admin/admin_settings.py
new file mode 100644
index 00000000..66b6736b
--- /dev/null
+++ b/web/page_handlers/admin/admin_settings.py
@@ -0,0 +1,17 @@
+"""Page: Admin / Manage Settings."""
+
+
+from utils.layout import __not_authorised, organisation_settings_ui, system_settings_ui, tracer
+
+from ...utils.sessions import is_current_user_super_admin
+
+
+@tracer.start_as_current_span("admin_settings_page")
+def admin_settings_page() -> None:
+    """Page: Admin / Manage Settings."""
+    organisation_settings_ui()
+    # if is_super_admin():
+    if is_current_user_super_admin():
+        system_settings_ui()
+    else:
+        __not_authorised()
diff --git a/web/admin/admin_space_groups.py b/web/page_handlers/admin/admin_space_groups.py
similarity index 100%
rename from web/admin/admin_space_groups.py
rename to web/page_handlers/admin/admin_space_groups.py
diff --git a/web/admin/admin_spaces.py b/web/page_handlers/admin/admin_spaces.py
similarity index 100%
rename from web/admin/admin_spaces.py
rename to web/page_handlers/admin/admin_spaces.py
diff --git a/web/admin/admin_user_groups.py b/web/page_handlers/admin/admin_user_groups.py
similarity index 100%
rename from web/admin/admin_user_groups.py
rename to web/page_handlers/admin/admin_user_groups.py
diff --git a/web/admin/admin_users.py b/web/page_handlers/admin/admin_users.py
similarity index 85%
rename from web/admin/admin_users.py
rename to web/page_handlers/admin/admin_users.py
index 21b7258d..a1df8c9c 100644
--- a/web/admin/admin_users.py
+++ b/web/page_handlers/admin/admin_users.py
@@ -8,8 +8,8 @@
 @tracer.start_as_current_span("admin_users_page")
 def admin_users_page() -> None:
     """Page: Admin / Manage Users."""
-    with st.sidebar:
-        org_selection_ui()
+    # with st.sidebar:
+    #     org_selection_ui()
 
     create_user_ui()
     list_users_ui()
diff --git a/web/admin/index.py b/web/page_handlers/admin/index.py
similarity index 84%
rename from web/admin/index.py
rename to web/page_handlers/admin/index.py
index e9e5ce4a..dd34b6fc 100644
--- a/web/admin/index.py
+++ b/web/page_handlers/admin/index.py
@@ -5,14 +5,14 @@
 from utils.observability import baggage_as_attributes, tracer
 from utils.sessions import is_current_user_selected_org_admin, is_current_user_super_admin
 
-from web.admin.admin_integrations import admin_integrations_page
-from web.admin.admin_logs import admin_logs_page
-from web.admin.admin_orgs import admin_orgs_page
-from web.admin.admin_settings import admin_settings_page
-from web.admin.admin_space_groups import admin_space_groups_page
-from web.admin.admin_spaces import admin_spaces_page
-from web.admin.admin_user_groups import admin_user_groups_page
-from web.admin.admin_users import admin_users_page
+from web.page_handlers.admin.admin_integrations import admin_integrations_page
+from web.page_handlers.admin.admin_logs import admin_logs_page
+from web.page_handlers.admin.admin_orgs import admin_orgs_page
+from web.page_handlers.admin.admin_settings import admin_settings_page
+from web.page_handlers.admin.admin_space_groups import admin_space_groups_page
+from web.page_handlers.admin.admin_spaces import admin_spaces_page
+from web.page_handlers.admin.admin_user_groups import admin_user_groups_page
+from web.page_handlers.admin.admin_users import admin_users_page
 
 
 def super_and_org_admin_pages() -> None:
diff --git a/web/admin_spaces.py b/web/page_handlers/admin_spaces.py
similarity index 100%
rename from web/admin_spaces.py
rename to web/page_handlers/admin_spaces.py
diff --git a/web/embed.py b/web/page_handlers/embed.py
similarity index 100%
rename from web/embed.py
rename to web/page_handlers/embed.py
diff --git a/web/page_handlers/home.py b/web/page_handlers/home.py
new file mode 100644
index 00000000..812d5b5f
--- /dev/null
+++ b/web/page_handlers/home.py
@@ -0,0 +1,71 @@
+"""Page: Home (no auth required)."""
+
+import streamlit as st
+from utils.handlers import (
+    handle_fire_extensions_callbacks,  # noqa F401 don't remove this line, it's used to register api routes
+)
+
+# from docq_extensions.web.layout import subscriptions
+from utils.layout import (
+    auth_required,
+    public_access,
+    render_docq_logo,
+    render_page_title_and_favicon,
+)
+from utils.observability import baggage_as_attributes, tracer
+
+with tracer().start_as_current_span("home_page", attributes=baggage_as_attributes()):
+    render_docq_logo()
+
+    render_page_title_and_favicon(
+        page_display_title=":violet[Your private ChatGPT alternative].",
+        browser_title="Docq.AI - Private ChatGPT alternative.",
+    )
+
+    public_access()
+
+    login_container = st.container()
+
+    st.subheader("Secure unlock knowledge from your confidential business documents.")
+
+    st.markdown("Upload a document. Ask questions. Get answers. It's that simple!")
+
+    st.subheader("Guide")
+    st.markdown(
+        """
+    - **_General Chat_** to use Docq like ChatGPT.
+    - **_Ask Shared Documents_** to ask questions and get answers from documents shared within your organisation as a Space.
+    - **_Admin Section_ > _Admin Spaces_** to create a new Space, add documents, and share with your organisation.
+    """
+    )
+
+    st.subheader("Tips & Tricks")
+    st.markdown(
+        """
+    - Always ask questions in plain English and try to be as specific as possible.
+    - Admins can manage the documents in a Space which sets the context for your questions.
+    - Every user also has a personal organisation so you can create Spaces that are personal knowledge repositories.
+    - Your access to shared spaces is subject to permissions set by your organisation admin.
+    - For any questions or feedback, please contact your organisation's Docq administrator.
+
+    Enjoy Docq!
+    """
+    )
+
+    st.divider()
+    st.markdown(
+        """
+    [Website](https://docq.ai) | Star on [Github](https://github.com/docqai) | Follow on [Twitter](https://twitter.com/docqai)
+        """
+    )
+
+    st.markdown(
+        """
+    For help: [Docs](https://docqai.github.io/docq/) | Join [Slack](https://join.slack.com/t/docqai/shared_invite/zt-27p17lu6v-6KLJxSmt61vfNqCavSE73A) | Email [hi@docqai.com](mailto:hi@docqai.com)
+        """
+    )
+
+    handle_fire_extensions_callbacks("webui.home_page.render_footer", None)
+
+    with login_container:
+        auth_required(show_login_form=True, requiring_selected_org_admin=False, show_logout_button=True)
diff --git a/web/ml_eng_tools/assistants.py b/web/page_handlers/ml_eng_tools/assistants.py
similarity index 100%
rename from web/ml_eng_tools/assistants.py
rename to web/page_handlers/ml_eng_tools/assistants.py
diff --git a/web/ml_eng_tools/rag.py b/web/page_handlers/ml_eng_tools/rag.py
similarity index 100%
rename from web/ml_eng_tools/rag.py
rename to web/page_handlers/ml_eng_tools/rag.py
diff --git a/web/ml_eng_tools/visualise_agent_messages.py b/web/page_handlers/ml_eng_tools/visualise_agent_messages.py
similarity index 100%
rename from web/ml_eng_tools/visualise_agent_messages.py
rename to web/page_handlers/ml_eng_tools/visualise_agent_messages.py
diff --git a/web/ml_eng_tools/visualise_index.py b/web/page_handlers/ml_eng_tools/visualise_index.py
similarity index 100%
rename from web/ml_eng_tools/visualise_index.py
rename to web/page_handlers/ml_eng_tools/visualise_index.py
diff --git a/web/personal_chat.py b/web/page_handlers/personal_chat.py
similarity index 100%
rename from web/personal_chat.py
rename to web/page_handlers/personal_chat.py
diff --git a/web/shared_ask.py b/web/page_handlers/shared_ask.py
similarity index 54%
rename from web/shared_ask.py
rename to web/page_handlers/shared_ask.py
index 4b3715c8..b5b0e362 100644
--- a/web/shared_ask.py
+++ b/web/page_handlers/shared_ask.py
@@ -12,11 +12,14 @@
 from utils.sessions import get_authenticated_user_id
 
 with tracer().start_as_current_span("ask_shared_page", attributes=baggage_as_attributes()):
-  render_page_title_and_favicon()
-  auth_required()
+    render_page_title_and_favicon()
+    auth_required()
 
-  org_feature_enabled(OrganisationFeatureType.ASK_SHARED)
+    org_feature_enabled(OrganisationFeatureType.ASK_SHARED)
+    authenticated_user_id = get_authenticated_user_id()
+    if authenticated_user_id is None:
+        raise ValueError("User is not authenticated.")
 
-  feature = FeatureKey(OrganisationFeatureType.ASK_SHARED, get_authenticated_user_id())
+    feature = FeatureKey(OrganisationFeatureType.ASK_SHARED, authenticated_user_id)
 
-  chat_ui(feature)
+    chat_ui(feature)
diff --git a/web/shared_spaces.py b/web/page_handlers/shared_spaces.py
similarity index 100%
rename from web/shared_spaces.py
rename to web/page_handlers/shared_spaces.py
diff --git a/web/signup.py b/web/page_handlers/signup.py
similarity index 100%
rename from web/signup.py
rename to web/page_handlers/signup.py
diff --git a/web/verify.py b/web/page_handlers/verify.py
similarity index 100%
rename from web/verify.py
rename to web/page_handlers/verify.py
diff --git a/web/static/docq v2.1 logo only.jpg b/web/static/docq v2.1 logo only.jpg
new file mode 100644
index 00000000..1c79eafe
Binary files /dev/null and b/web/static/docq v2.1 logo only.jpg differ
diff --git a/web/static/docq v2.1 word mark (without boarder).jpg b/web/static/docq v2.1 word mark (without boarder).jpg
new file mode 100644
index 00000000..ba0ead46
Binary files /dev/null and b/web/static/docq v2.1 word mark (without boarder).jpg differ
diff --git a/web/static/docq-v2_1-word-mark.jpg b/web/static/docq-v2_1-word-mark.jpg
new file mode 100644
index 00000000..490d5d26
Binary files /dev/null and b/web/static/docq-v2_1-word-mark.jpg differ
diff --git a/web/utils/formatters.py b/web/utils/formatters.py
index f69c7f45..8087804a 100644
--- a/web/utils/formatters.py
+++ b/web/utils/formatters.py
@@ -15,14 +15,16 @@ def format_datetime(dt: datetime) -> str:
 
 def format_duration(dt: datetime) -> str:
     """Format time duration to human-friendly value."""
-    now = datetime.now().day
-    if now == dt.date().day:
+    today = datetime.date(datetime.now())
+    delta = today - dt.date()
+
+    if delta.days == 0:
         return "Today"
-    elif now - dt.date().day == 1:
+    elif delta.days == 1:
         return "Yesterday"
-    elif now - dt.date().day < 7:
+    elif delta.days < 7:
         return "Previous 7 days"
-    elif now - dt.date().day < 30:
+    elif delta.days < 30:
         return "Previous 30 days"
     else:
         return dt.strftime("%B %Y")
diff --git a/web/utils/layout.py b/web/utils/layout.py
index 1b933e4d..d5579b2e 100644
--- a/web/utils/layout.py
+++ b/web/utils/layout.py
@@ -12,7 +12,7 @@
 
 import docq
 import streamlit as st
-from docq import manage_spaces, setup
+from docq import setup
 from docq.access_control.main import SpaceAccessType
 from docq.config import (
     LogType,
@@ -306,8 +306,10 @@ def __no_staff_menu() -> None:
 
 @tracer.start_as_current_span("__no_admin_menu")
 def __no_admin_menu() -> None:
-    hide_pages(["Admin_Section"])
-    hide_pages(["ML Engineering"])
+    # hide_pages(["Admin_Section"])
+    # hide_pages(["ML Engineering"])
+    # FIXME: new to reimplement this the new the ST 1.37 way
+    pass
 
 
 def __embed_page_config() -> None:
@@ -353,7 +355,8 @@ def __hide_all_empty_divs() -> None:
 
 def __always_hidden_pages() -> None:
     """These pages are always hidden whether the user is an admin or not."""
-    hide_pages(["widget", "signup", "verify", "Admin_Spaces"])
+    # hide_pages(["widget", "signup", "verify", "Admin_Spaces"])
+    # FIXME: new to reimplement this the new the ST 1.37 way
 
 
 def render_page_title_and_favicon(
@@ -379,16 +382,21 @@ def render_page_title_and_favicon(
     if ctx is None:
         return
 
+    pages = ctx.pages_manager.get_pages()
+
+    current_page_hash = ctx.pages_manager.current_page_hash
     try:
-        current_page = pages[ctx.page_script_hash]
+        current_page = pages[current_page_hash]
+
     except KeyError:
         try:
-            current_page = [p for p in pages.values() if p["relative_page_hash"] == ctx.page_script_hash][0]
+            # not sure we need this anymore given the new pages_manager and st.navigation
+            current_page = [p for p in pages.values() if p["page_script_hash"] == current_page_hash][0]
         except IndexError:
             return
 
-    page_slug = current_page["page_name"]  # this is the URL slug defined in show_pages()
-    page_icon = current_page["icon"]  # the optional icon defined in show_pages()
+    page_slug = current_page.get("page_name", "")  # this is the URL slug defined in show_pages()
+    page_icon = current_page.get("icon")  # the optional icon defined in show_pages()
     _page_display_title = page_display_title or page_slug.replace("_", " ")
 
     try:
@@ -409,12 +417,9 @@ def render_page_title_and_favicon(
     _posthog_tracking_script()
 
 
-def render_docq_logo() -> None:
+def render_docq_logo(width: int = 100) -> None:
     """Render the Docq logo."""
-    st.markdown(
-        "<img src='https://raw.githubusercontent.com/docqai/docq/main/docs/assets/logo.jpg'  width='100' alt='Docq.AI Logo'/>",
-        unsafe_allow_html=True,
-    )
+    st.image(image="web/static/docq-v2_1-word-mark.jpg", width=100)
 
 
 def __resend_verification_ui(
@@ -528,8 +533,8 @@ def auth_required(
                 selected_org_admin=auth[SessionKeyNameForAuth.SELECTED_ORG_ADMIN.name],
             )
 
-        if show_logout_button:
-            __logout_button()
+        # if show_logout_button:
+        #     __logout_button()
 
         if not auth.get(SessionKeyNameForAuth.SELECTED_ORG_ADMIN.name, False):
             __no_admin_menu()
@@ -547,13 +552,20 @@ def auth_required(
         return False
 
 
-def is_super_admin() -> bool:
-    """Check if the current user is a super admin. auth_required() must be called before this."""
+# def is_super_admin() -> bool:
+#     """Check if the current user is a super admin. auth_required() must be called before this."""
+#     auth = get_auth_session()
+#     is_super_admin = auth.get(SessionKeyNameForAuth.SUPER_ADMIN.name, False)
+#     if not is_super_admin:
+#         __not_authorised()
+#     return is_super_admin
+
+
+def is_authenticated() -> bool:
+    """Check if the current user is authenticated. auth_required() must be called before this."""
     auth = get_auth_session()
-    is_super_admin = auth.get(SessionKeyNameForAuth.SUPER_ADMIN.name, False)
-    if not is_super_admin:
-        __not_authorised()
-    return is_super_admin
+    is_authenticated = bool(auth)
+    return is_authenticated
 
 
 def public_session_setup() -> None:
@@ -794,6 +806,13 @@ def _personal_ask_style() -> None:
         unsafe_allow_html=True,
     )
 
+def sidebar_dynamic_section_container() -> DeltaGenerator:
+    """Get a reference to the  dynamic sidebar section container.
+
+    This is how you insert UI elements inbetween the menu options and the logout button. Ensures the logout button is always at the bottom.
+    """
+    return st.session_state.get("sidebar_dynamic_section", st.sidebar.container())
+
 
 def _show_chat_histories(feature: FeatureKey) -> None:
     st.markdown(
@@ -826,7 +845,11 @@ def _show_chat_histories(feature: FeatureKey) -> None:
     """,
         unsafe_allow_html=True,
     )
-    with st.sidebar.expander("Chat History"):
+    # with st.sidebar.expander("Chat History"):
+    sidebar_dynamic_section = sidebar_dynamic_section_container()
+
+    # sidebar_dynamic_section = st.sidebar.container()
+    with sidebar_dynamic_section.expander("Chat History"):
         chat_threads = handle_get_chat_history_threads(feature)
         day = None
         for x in chat_threads:
@@ -911,18 +934,22 @@ def _render_show_thread_space_files(feature: FeatureKey) -> None:
             space = handle_get_thread_space(feature)
             if space:
                 expander_label = "Knowledge"
-                with st.expander(expander_label):
+                sidebar_dynamic_section = sidebar_dynamic_section_container()
+                with sidebar_dynamic_section.expander(expander_label):
                     _render_documents_list_ui(space, False, "sm", expander_label)
 
 
 def _render_assistant_selection(feature: FeatureKey) -> None:
-    with st.sidebar.container():
+    sidebar_dynamic_section = sidebar_dynamic_section_container()
+    with sidebar_dynamic_section:
         selected_org_id = get_selected_org_id()
 
         if feature.type_ == OrganisationFeatureType.CHAT_PRIVATE:
             assistant_type = AssistantType.SIMPLE_CHAT
         elif feature.type_ == OrganisationFeatureType.ASK_SHARED:
             assistant_type = AssistantType.ASK
+        else:
+            raise ValueError(f"Unsupported feature type: {feature.type_}")
 
         assistants_data_org = list_assistants(org_id=selected_org_id, assistant_type=assistant_type)
         assistants_data_global = list_assistants(assistant_type=assistant_type)
@@ -947,36 +974,40 @@ def _render_chat_file_uploader(feature: FeatureKey, key_suffix: int) -> None:
     st.markdown(
         """
     <style>
-      div[data-testid="stFileUploader"] label {
+      div[data-testid="stFileUploader"] {
+        margin-top: 1rem;
+        display: block;
+      }
+     div[data-testid="stFileUploader"] label {
         display: none;
       }
-      section[data-testid="stFileUploadDropzone"] {
+      section[data-testid="stFileUploaderDropzone"] {
         height: 2.1rem;
         margin-left: 0.2rem;
       }
-      section[data-testid="stFileUploadDropzone"] div {
+      section[data-testid="stFileUploaderDropzone"] div {
         flex-direction: row;
         gap: 1rem;
       }
-      section[data-testid="stFileUploadDropzone"] :is(small, span) {
+      section[data-testid="stFileUploaderDropzone"] :is(small, span) {
         justify-content: center;
         align-items: center;
         display: flex;
         margin: 0;
       }
-      section[data-testid="stFileUploadDropzone"] small {
+      section[data-testid="stFileUploaderDropzone"] small {
         font-size: 0;
       }
-      section[data-testid="stFileUploadDropzone"] small:after {
+      section[data-testid="stFileUploaderDropzone"] small:after {
         content: "File limit 200MB";
         font-size: 0.8rem;
       }
-      section[data-testid="stFileUploadDropzone"] button[data-testid="baseButton-secondary"] {
+      section[data-testid="stFileUploaderDropzone"] button {
         min-height: unset;
         height: 1.8rem;
         font-size: 0.8rem;
       }
-      div[data-testid="stFileUploader"]:has(.uploadedFile) section[data-testid="stFileUploadDropzone"] {
+      div[data-testid="stFileUploader"]:has(.uploadedFile) section[data-testid="stFileUploaderDropzone"] {
         display: none;
       }
       div[data-testid="stHorizontalBlock"]:has([data-testid="stSpinner"]) div:has(> ul > li > .uploadedFile) {
@@ -1002,7 +1033,7 @@ def _render_chat_file_uploader(feature: FeatureKey, key_suffix: int) -> None:
 def chat_ui(feature: FeatureKey) -> None:
     """Chat UI layout."""
     prepare_for_chat(feature)
-    st.markdown(
+    st.html(
         """<style>
             [data-testid="stMarkdownContainer"] h6 {
                 padding: 0px !important;
@@ -1027,20 +1058,21 @@ def chat_ui(feature: FeatureKey) -> None:
                 border-radius: 0;
             }
 
-            div[data-testid="stHorizontalBlock"]:has(div > div > div > [docq-data-label="New chat"]) {
+            div[data-testid="stHorizontalBlock"]:has(div > div > div > div) {
                 position: fixed;
-                bottom: 1.8rem;
+                bottom: 0.8rem;
                 z-index: 1000;
-                max-height: 2rem;
+                max-height: 3rem;
             }
 
-            div[data-testid="column"] > div > div > [docq-data-label="New chat"] > .stButton {
+            div[data-testid="column"] > div > div > div > div > .stButton {
                 display: flex;
                 align-items: center;
                 justify-content: flex-end;
+                margin-top: 1rem;
             }
 
-            [docq-data-label="New chat"] button {
+            div[data-testid="column"] > div > div > div > div > .stButton > button {
                 min-height: unset;
                 height: 2rem;
                 font-size: 0.8rem;
@@ -1051,8 +1083,7 @@ def chat_ui(feature: FeatureKey) -> None:
                 justify-content: center;
             }
         </style>
-    """,
-        unsafe_allow_html=True,
+    """
     )
     from docq.agents.datamodels import Message
 
@@ -1136,7 +1167,7 @@ def chat_ui(feature: FeatureKey) -> None:
     )
 
     uploader, new_chat = st.columns([3, 1])
-    if new_chat.button("New chat"):
+    if new_chat.button(label="New chat", key="new_chat_button"):
         handle_create_new_chat(feature)
         st.rerun()
 
@@ -1145,9 +1176,11 @@ def chat_ui(feature: FeatureKey) -> None:
     with uploader:
         _render_chat_file_uploader(feature, thread_id)
 
+    # these are rendered in this order in the sidebar.
     _render_show_thread_space_files(feature)
-    _render_assistant_selection(feature)
     _show_chat_histories(feature)
+    _render_assistant_selection(feature)
+
     _chat_ui_script()
 
 
@@ -1283,16 +1316,11 @@ def organisation_settings_ui() -> None:
 
         selected_model = model_settings_container.selectbox(
             label="Default Model",
-            options=available_models.items(),
+            options=list(available_models.items()),
             format_func=lambda x: x[1],
             index=saved_model_index,
             key=f"org_settings_default_{OrganisationSettingsKey.MODEL_COLLECTION.name}",
         )
-        # log.debug(
-        #     "selected model in session state: %s",
-        #     st.session_state[f"org_settings_default_{OrganisationSettingsKey.MODEL_COLLECTION.name}"][0],
-        # )
-        # log.debug("selected model: %s", selected_model[0])
 
         span.set_attributes(
             {
diff --git a/web/utils/layout_assistants.py b/web/utils/layout_assistants.py
index 9a898923..0b1ba9b7 100644
--- a/web/utils/layout_assistants.py
+++ b/web/utils/layout_assistants.py
@@ -99,7 +99,7 @@ def render_assistants_selector_ui(
                 selected_index = i
                 break
     selected_assistant = st.selectbox(
-        "Assistant",
+        label="Assistant",
         options=[assistant for assistant in assistants_data],
         format_func=lambda x: x[1],
         label_visibility="visible",
@@ -113,6 +113,7 @@ def render_assistants_listing_ui(assistants_data: list[ASSISTANT], org_id: Optio
     for assistant in assistants_data:
         with st.expander(f"{assistant[1]} ({assistant[0]})", expanded=False):
             st.write(f"ID: {assistant[0]}")
+            st.write(f"Scoped ID: {assistant[9]}")
             st.write(f"Created At: {assistant[7]} | Updated At: {assistant[8]}")
             edit = st.button(label="Edit Assistant", key=f"edit_assistant_{assistant[0]}")
             if edit:
diff --git a/web/utils/sessions.py b/web/utils/sessions.py
index 3196ca50..b9f37f0c 100644
--- a/web/utils/sessions.py
+++ b/web/utils/sessions.py
@@ -6,7 +6,6 @@
 import docq
 import streamlit as st
 from docq import config, manage_users
-from docq.manage_assistants import Assistant, get_assistant_fixed
 from docq.support.auth_utils import set_cache_auth_session
 from opentelemetry import trace
 
@@ -100,6 +99,11 @@ def get_auth_session() -> dict:
     return _get_session_value(SessionKeySubName.AUTH)
 
 
+def is_current_user_authenticated() -> bool:
+    """Return if the current user is authenticated or not."""
+    return bool(get_auth_session())
+
+
 def is_current_user_super_admin() -> bool:
     """Get the auth session value for SUPER_ADMIN."""
     return _get_session_value(SessionKeySubName.AUTH, SessionKeyNameForAuth.SUPER_ADMIN.name)
diff --git a/web/utils/streamlit_application.py b/web/utils/streamlit_application.py
index dcfbedfe..66ff8016 100644
--- a/web/utils/streamlit_application.py
+++ b/web/utils/streamlit_application.py
@@ -18,7 +18,7 @@ class StreamlitApplication:
     Source: https://discuss.streamlit.io/t/streamlit-restful-app/409/19?u=janaka
     """
 
-    _rules: List[Rule] = []
+    # _rules: List[Rule] = []
     __singleton_instance = None
 
     # TODO: figure out how to set instance of the class with the Tornado Application object.
@@ -40,9 +40,27 @@ def add_route_handler(self: Self, rule: Rule) -> None:
         """Add a route rule."""
         logging.debug("Adding route handler: %s", rule)
         # self._rules.append(rule)
+
         tornado_app: Application = self.get_singleton_instance()
+
+        # Check if the rule already exists
+        for existing_rule in tornado_app.wildcard_router.rules:
+            if existing_rule.matcher == rule.matcher:
+                logging.debug("Route rule already exists: %s", rule)
+                return
         tornado_app.wildcard_router.rules.insert(0, rule)
 
+    def get_registered_routes(self: Self) -> List[Rule]:
+        """Return the registered routes."""
+        tornado_app: Application = self.get_singleton_instance()
+        return tornado_app.wildcard_router.rules
+
+    def print_registered_routes(self: Self) -> None:
+        """Print the registered routes."""
+        logging.info("Registered route count: %s", len(self.get_registered_routes()))
+        for rule in self.get_registered_routes():
+            logging.debug("Registered route: %s", rule)
+
     # def register_routes(self: Self) -> None:
     #     """Register the routes with the Streamlit Tornado Application instance."""
     #     tornado_app: Application = self.get_singleton_instance()
diff --git a/web/utils/streamlit_page_extension.py b/web/utils/streamlit_page_extension.py
new file mode 100644
index 00000000..43b9ce8d
--- /dev/null
+++ b/web/utils/streamlit_page_extension.py
@@ -0,0 +1,45 @@
+"""Extension of StreamlitPage class to add more functionality.
+
+The property `hidden` is added so our custom navigation can hide pages.
+"""
+
+from pathlib import Path
+from typing import Callable, Self
+
+from streamlit.navigation.page import StreamlitPage
+
+
+class StreamlitPageExtension(StreamlitPage):
+    """Extension of StreamlitPage class to add more functionality."""
+
+    def __init__(
+        self,
+        page: str | Path | Callable[[], None],
+        *,
+        title: str | None = None,
+        icon: str | None = None,
+        url_path: str | None = None,
+        default: bool = False,
+        hidden: bool = False,
+    ) -> None:
+        """Initialize the StreamlitPageExtension class.
+
+        Args:
+          page (str | Path | Callable[[], None]): The page to be displayed.
+          title (str | None, optional): The title of the page. Defaults to None.
+          icon (str | None, optional): The icon of the page. Defaults to None.
+          url_path (str | None, optional): The URL path of the page. Defaults to None.
+          default (bool, optional): Whether the page is the default page. Defaults to False.
+          hidden (bool, optional): Whether the page is hidden in navigation. Defaults to False.
+        """
+        super().__init__(page=page, title=title, icon=icon, url_path=url_path, default=default)
+        self._hidden = hidden
+
+    @property
+    def hidden(self) -> bool:
+        """If the page is hidden in navigation.
+
+        Returns:
+          bool: True If the page is hidden in navigation.
+        """
+        return self._hidden