diff --git a/.github/workflows/build-python.yml b/.github/workflows/build-python.yml
index cd65b5375e..b6134932d9 100644
--- a/.github/workflows/build-python.yml
+++ b/.github/workflows/build-python.yml
@@ -54,7 +54,7 @@ jobs:
     strategy:
       fail-fast: false # Do not stop when any job fails
       matrix:
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
         os: [ubuntu-latest]
         pydantic_v1: [false]
         pandas_v1: [false]
@@ -72,7 +72,7 @@ jobs:
             pandas_v1: false
             langchain_minimal: false
           - python-version: "3.10"
-            os: macos-12
+            os: macos-latest
             pydantic_v1: false
             pandas_v1: false
             langchain_minimal: false
@@ -134,7 +134,14 @@ jobs:
         run: |
           df -h
 
+      - name: Install dependencies (Windows)
+        if: ${{ matrix.os == 'windows-2022' }}
+        run: |
+          pdm install -G :all --without tensorflow
+          pdm list
+
       - name: Install dependencies
+        if: ${{ matrix.os != 'windows-2022' }}
         run: |
           pdm install -G :all
           pdm list
@@ -144,10 +151,12 @@ jobs:
           df -h
 
       - name: Re-install lightgbm from sources for MacOS
-        if: ${{ matrix.os == 'macos-12' }}
+        if: ${{ matrix.os == 'macos-latest' }}
         run: |
           pdm run pip uninstall lightgbm -y
           pdm run pip install --no-binary lightgbm lightgbm --config-settings=cmake.define.USE_OPENMP=OFF
+          brew install libomp
+
       - name: Install pydantic v1
         if: ${{ matrix.pydantic_v1 }}
         run: |
diff --git a/docs/reference/notebooks/LLM_QA_IPCC.ipynb b/docs/reference/notebooks/LLM_QA_IPCC.ipynb
index 548e493b7d..f7003f7361 100644
--- a/docs/reference/notebooks/LLM_QA_IPCC.ipynb
+++ b/docs/reference/notebooks/LLM_QA_IPCC.ipynb
@@ -368,7 +368,7 @@
    },
    "outputs": [],
    "source": [
-    "results = scan(giskard_model, giskard_dataset, only=\"hallucination\")"
+    "results = scan(giskard_model, giskard_dataset, only=[\"hallucination\"])"
    ]
   },
   {
diff --git a/giskard/models/automodel.py b/giskard/models/automodel.py
index 6f58087000..0a4fe36ae1 100644
--- a/giskard/models/automodel.py
+++ b/giskard/models/automodel.py
@@ -21,7 +21,7 @@
     ("giskard.models.langchain", "LangchainModel"): [("langchain.chains.base", "Chain")],
     ("giskard.models.catboost", "CatboostModel"): [("catboost", "CatBoost")],
     ("giskard.models.pytorch", "PyTorchModel"): [("torch.nn", "Module")],
-    ("giskard.models.tensorflow", "TensorFlowModel"): [("tensorflow", "Module")],
+    ("giskard.models.tensorflow", "TensorFlowModel"): [("tensorflow", "Module"), ("keras", "Model")],
 }
 
 
diff --git a/giskard/testing/tests/statistic.py b/giskard/testing/tests/statistic.py
index 328f74cd26..2b6b1d1204 100644
--- a/giskard/testing/tests/statistic.py
+++ b/giskard/testing/tests/statistic.py
@@ -1,4 +1,5 @@
 """Statistical tests"""
+
 from typing import Optional
 
 import numbers
@@ -498,7 +499,7 @@ def test_nominal_association(
 def test_cramer_v(
     model: BaseModel, dataset: Dataset, slicing_function: SlicingFunction, threshold: float = 0.5
 ) -> TestResult:
-    """Tests for nominal association between a dataset slice and the model predictions using Cramer's V.
+    r"""Tests for nominal association between a dataset slice and the model predictions using Cramer's V.
 
     Cramer's V is a statistical measure used to assess the strength and nature of association between two
     categorical variables. It is an extension of the chi-squared test for independence and takes into account the
@@ -513,7 +514,7 @@ def test_cramer_v(
 
     .. math::
 
-       V = \sqrt{\\frac{\chi^2}{n \cdot \min(k-1, r-1)}}
+       V = \sqrt{\frac{\chi^2}{n \cdot \min(k-1, r-1)}}
 
     where: :math:`\chi^2` is the chi-squared statistic for the two variables. n is the total number of observations.
     :math:`k` is the
@@ -550,7 +551,7 @@ def test_cramer_v(
 def test_mutual_information(
     model: BaseModel, dataset: Dataset, slicing_function: SlicingFunction, threshold: float = 0.5
 ) -> TestResult:
-    """Tests for nominal association between a dataset slice and the model predictions using Mutual Information.
+    r"""Tests for nominal association between a dataset slice and the model predictions using Mutual Information.
 
     The mutual information statistical test is a measure used to quantify the degree of association between two
     categorical variables. It assesses how much information about one variable can be gained from knowing the other
@@ -565,7 +566,7 @@ def test_mutual_information(
 
     .. math::
 
-       I(X;Y) = \sum_{x \in X} \sum_{y \in Y} p(x, y) \cdot \log ( \\frac{p(x, y)}{p(x) \cdot p(y)})
+       I(X;Y) = \sum_{x \in X} \sum_{y \in Y} p(x, y) \cdot \log ( \frac{p(x, y)}{p(x) \cdot p(y)})
 
     where: :math:`p(x,y)` is the joint probability mass function of variables :math:`X` and :math:`Y`. :math:`p(x)` and
     :math:`p(y)` are the marginal probability mass functions of variables :math:`X` and :math:`Y` respectively.
@@ -601,7 +602,7 @@ def test_mutual_information(
 def test_theil_u(
     model: BaseModel, dataset: Dataset, slicing_function: SlicingFunction, threshold: float = 0.5
 ) -> TestResult:
-    """Tests for nominal association between a dataset slice and the model predictions using Theil's U.
+    r"""Tests for nominal association between a dataset slice and the model predictions using Theil's U.
 
     Theil's U statistical test for nominal association is a measure used to assess the strength and direction
     of association between two categorical variables. It quantifies the inequality in the distribution of one variable
@@ -616,7 +617,7 @@ def test_theil_u(
 
     .. math::
 
-       U = \\frac{H(x|y) - H(y|x)}{H(x)}
+       U = \frac{H(x|y) - H(y|x)}{H(x)}
 
     where :math:`H(x|y)`, :math:`H(y|x)` are the conditional entropies of the two variables and :math:`H(x)` is the
     entropy of the first variable.
diff --git a/pdm.lock b/pdm.lock
index 17c9a09f3f..4b14431235 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -2,21 +2,20 @@
 # It is not intended for manual editing.
 
 [metadata]
-groups = ["default", "dev", "doc", "hub", "llm", "ml_runtime", "talk", "test"]
-strategy = ["inherit_metadata"]
+groups = ["default", "dev", "doc", "llm", "ml_runtime", "talk", "tensorflow", "test"]
+strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:98709ca731f29492076f5597415ac214f70a245477bee23bb4e043f4069a7ead"
+content_hash = "sha256:f1f61e224e92ce1baaff8986cbbc1ba4ec6850a28672045c1d333aaceb2153ec"
 
 [[metadata.targets]]
-requires_python = ">=3.9,<3.12"
+requires_python = ">=3.9,<3.13"
 
 [[package]]
 name = "absl-py"
 version = "2.1.0"
 requires_python = ">=3.7"
 summary = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+groups = ["tensorflow"]
 files = [
     {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
     {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
@@ -79,6 +78,21 @@ files = [
     {file = "aiohttp-3.10.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8fb4fc029e135859f533025bc82047334e24b0d489e75513144f25408ecaf058"},
     {file = "aiohttp-3.10.5-cp311-cp311-win32.whl", hash = "sha256:e1ca1ef5ba129718a8fc827b0867f6aa4e893c56eb00003b7367f8a733a9b072"},
     {file = "aiohttp-3.10.5-cp311-cp311-win_amd64.whl", hash = "sha256:349ef8a73a7c5665cca65c88ab24abe75447e28aa3bc4c93ea5093474dfdf0ff"},
+    {file = "aiohttp-3.10.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:305be5ff2081fa1d283a76113b8df7a14c10d75602a38d9f012935df20731487"},
+    {file = "aiohttp-3.10.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3a1c32a19ee6bbde02f1cb189e13a71b321256cc1d431196a9f824050b160d5a"},
+    {file = "aiohttp-3.10.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:61645818edd40cc6f455b851277a21bf420ce347baa0b86eaa41d51ef58ba23d"},
+    {file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c225286f2b13bab5987425558baa5cbdb2bc925b2998038fa028245ef421e75"},
+    {file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ba01ebc6175e1e6b7275c907a3a36be48a2d487549b656aa90c8a910d9f3178"},
+    {file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8eaf44ccbc4e35762683078b72bf293f476561d8b68ec8a64f98cf32811c323e"},
+    {file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1c43eb1ab7cbf411b8e387dc169acb31f0ca0d8c09ba63f9eac67829585b44f"},
+    {file = "aiohttp-3.10.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de7a5299827253023c55ea549444e058c0eb496931fa05d693b95140a947cb73"},
+    {file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4790f0e15f00058f7599dab2b206d3049d7ac464dc2e5eae0e93fa18aee9e7bf"},
+    {file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:44b324a6b8376a23e6ba25d368726ee3bc281e6ab306db80b5819999c737d820"},
+    {file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:0d277cfb304118079e7044aad0b76685d30ecb86f83a0711fc5fb257ffe832ca"},
+    {file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:54d9ddea424cd19d3ff6128601a4a4d23d54a421f9b4c0fff740505813739a91"},
+    {file = "aiohttp-3.10.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4f1c9866ccf48a6df2b06823e6ae80573529f2af3a0992ec4fe75b1a510df8a6"},
+    {file = "aiohttp-3.10.5-cp312-cp312-win32.whl", hash = "sha256:dc4826823121783dccc0871e3f405417ac116055bf184ac04c36f98b75aacd12"},
+    {file = "aiohttp-3.10.5-cp312-cp312-win_amd64.whl", hash = "sha256:22c0a23a3b3138a6bf76fc553789cb1a703836da86b0f306b6f0dc1617398abc"},
     {file = "aiohttp-3.10.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7e2fe37ac654032db1f3499fe56e77190282534810e2a8e833141a021faaab0e"},
     {file = "aiohttp-3.10.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f5bf3ead3cb66ab990ee2561373b009db5bc0e857549b6c9ba84b20bc462e172"},
     {file = "aiohttp-3.10.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1b2c16a919d936ca87a3c5f0e43af12a89a3ce7ccbce59a2d6784caba945b68b"},
@@ -179,7 +193,7 @@ name = "anyio"
 version = "4.4.0"
 requires_python = ">=3.8"
 summary = "High level compatibility layer for multiple asynchronous event loop implementations"
-groups = ["dev", "doc", "llm", "talk", "test"]
+groups = ["dev", "doc", "llm", "ml_runtime", "talk", "test"]
 dependencies = [
     "exceptiongroup>=1.0.2; python_version < \"3.11\"",
     "idna>=2.8",
@@ -272,7 +286,6 @@ version = "3.3.2"
 requires_python = ">=3.9.0"
 summary = "An abstract syntax tree for Python with inference support."
 groups = ["doc"]
-marker = "python_version < \"3.12\""
 dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.11\"",
 ]
@@ -299,8 +312,7 @@ files = [
 name = "astunparse"
 version = "1.6.3"
 summary = "An AST unparser for Python"
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+groups = ["tensorflow"]
 dependencies = [
     "six<2.0,>=1.6.1",
     "wheel<1.0,>=0.23.0",
@@ -479,6 +491,10 @@ files = [
     {file = "black-24.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:837fd281f1908d0076844bc2b801ad2d369c78c45cf800cad7b61686051041af"},
     {file = "black-24.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:62e8730977f0b77998029da7971fa896ceefa2c4c4933fcd593fa599ecbf97a4"},
     {file = "black-24.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:72901b4913cbac8972ad911dc4098d5753704d1f3c56e44ae8dce99eecb0e3af"},
+    {file = "black-24.8.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c046c1d1eeb7aea9335da62472481d3bbf3fd986e093cffd35f4385c94ae368"},
+    {file = "black-24.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:649f6d84ccbae73ab767e206772cc2d7a393a001070a4c814a546afd0d423aed"},
+    {file = "black-24.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2b59b250fdba5f9a9cd9d0ece6e6d993d91ce877d121d161e4698af3eb9c1018"},
+    {file = "black-24.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:6e55d30d44bed36593c3163b9bc63bf58b3b30e4611e4d88a0c3c239930ed5b2"},
     {file = "black-24.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:eab4dd44ce80dea27dc69db40dab62d4ca96112f87996bca68cd75639aeb2e4c"},
     {file = "black-24.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3c4285573d4897a7610054af5a890bde7c65cb466040c5f0c8b732812d7f0e5e"},
     {file = "black-24.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9e84e33b37be070ba135176c123ae52a51f82306def9f7d063ee302ecab2cf47"},
@@ -508,6 +524,10 @@ files = [
     {file = "black-24.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:837fd281f1908d0076844bc2b801ad2d369c78c45cf800cad7b61686051041af"},
     {file = "black-24.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:62e8730977f0b77998029da7971fa896ceefa2c4c4933fcd593fa599ecbf97a4"},
     {file = "black-24.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:72901b4913cbac8972ad911dc4098d5753704d1f3c56e44ae8dce99eecb0e3af"},
+    {file = "black-24.8.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c046c1d1eeb7aea9335da62472481d3bbf3fd986e093cffd35f4385c94ae368"},
+    {file = "black-24.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:649f6d84ccbae73ab767e206772cc2d7a393a001070a4c814a546afd0d423aed"},
+    {file = "black-24.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2b59b250fdba5f9a9cd9d0ece6e6d993d91ce877d121d161e4698af3eb9c1018"},
+    {file = "black-24.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:6e55d30d44bed36593c3163b9bc63bf58b3b30e4611e4d88a0c3c239930ed5b2"},
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@@ -566,23 +586,23 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.35.1"
+version = "1.35.10"
 requires_python = ">=3.8"
 summary = "The AWS SDK for Python"
 groups = ["dev"]
 dependencies = [
-    "botocore<1.36.0,>=1.35.1",
+    "botocore<1.36.0,>=1.35.10",
     "jmespath<2.0.0,>=0.7.1",
     "s3transfer<0.11.0,>=0.10.0",
 ]
 files = [
-    {file = "boto3-1.35.1-py3-none-any.whl", hash = "sha256:9fe1a97de136a89d2957e41e3591a7648a6e08d63165255b4cc69c5ba1e2a177"},
-    {file = "boto3-1.35.1.tar.gz", hash = "sha256:9028dd814c7f06bc92822d1fabdd8b68fe39b5993da5ca7acd7f7c6f7c7c332f"},
+    {file = "boto3-1.35.10-py3-none-any.whl", hash = "sha256:add26dd58e076dfd387013da4704716d5cff215cf14f6d4347c4b9b7fc1f0b8e"},
+    {file = "boto3-1.35.10.tar.gz", hash = "sha256:189ab1e2b4cd86df56f82438d89b4040eb140c92683f1bda7cb2e62624f20ea5"},
 ]
 
 [[package]]
 name = "botocore"
-version = "1.35.1"
+version = "1.35.10"
 requires_python = ">=3.8"
 summary = "Low-level, data-driven core of boto 3."
 groups = ["dev"]
@@ -593,8 +613,8 @@ dependencies = [
     "urllib3<1.27,>=1.25.4; python_version < \"3.10\"",
 ]
 files = [
-    {file = "botocore-1.35.1-py3-none-any.whl", hash = "sha256:bce42967d0f03b79cf25b2b6a36221fb2fb15f98e6fa4155b66b672ab192013b"},
-    {file = "botocore-1.35.1.tar.gz", hash = "sha256:e599cef6305e950a212f85adb86c1f4713d4b2678b3c2ec54df6b8e2dbe9ef2f"},
+    {file = "botocore-1.35.10-py3-none-any.whl", hash = "sha256:0d96d023b9b0cea99a0a428a431d011329d3a958730aee6ed6a6fec5d9bfbc03"},
+    {file = "botocore-1.35.10.tar.gz", hash = "sha256:6c8a1377b6636a0d80218115e1cd41bcceba0a2f050b79c206f4cf8d002c54d7"},
 ]
 
 [[package]]
@@ -602,7 +622,7 @@ name = "cachetools"
 version = "5.5.0"
 requires_python = ">=3.7"
 summary = "Extensible memoizing collections and decorators"
-groups = ["default", "ml_runtime", "test"]
+groups = ["default", "test"]
 files = [
     {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"},
     {file = "cachetools-5.5.0.tar.gz", hash = "sha256:2cc24fb4cbe39633fb7badd9db9ca6295d766d9c2995f245725a46715d050f2a"},
@@ -631,6 +651,10 @@ files = [
     {file = "catboost-1.2.5-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:b6e1617b57deca52c8880ec2439d0fb514d7e9f78479bae8dbfbd2f95bb3b28e"},
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 requires_python = ">=3.6"
 summary = "Python package for providing Mozilla's CA Bundle."
-groups = ["default", "dev", "doc", "hub", "llm", "ml_runtime", "talk", "test"]
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-groups = ["default", "dev", "doc", "hub", "llm", "ml_runtime", "test"]
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 dependencies = [
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 requires_python = ">=3.8"
 summary = "Pickler class to extend the standard pickle.Pickler functionality"
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 groups = ["dev", "llm", "ml_runtime"]
 dependencies = [
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+version = "0.20.0"
 requires_python = ">=3.8"
 summary = "A command line utility to check for unused, missing and transitive dependencies in a Python project."
 groups = ["dev"]
@@ -1198,18 +1276,18 @@ dependencies = [
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 [[package]]
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 version = "7.1.0"
 requires_python = ">=3.8"
 summary = "A Python library for the Docker Engine API."
-groups = ["dev", "hub", "ml_runtime"]
+groups = ["dev", "ml_runtime"]
 dependencies = [
     "pywin32>=304; sys_platform == \"win32\"",
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@@ -1298,7 +1376,7 @@ name = "entrypoints"
 version = "0.4"
 requires_python = ">=3.6"
 summary = "Discover and load entry points from installed packages."
-groups = ["default", "dev", "ml_runtime"]
+groups = ["dev", "ml_runtime"]
 files = [
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@@ -1334,7 +1412,7 @@ name = "exceptiongroup"
 version = "1.2.2"
 requires_python = ">=3.7"
 summary = "Backport of PEP 654 (exception groups)"
-groups = ["dev", "doc", "llm", "talk", "test"]
+groups = ["dev", "doc", "llm", "ml_runtime", "talk", "test"]
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@@ -1354,13 +1432,13 @@ files = [
 
 [[package]]
 name = "executing"
-version = "2.0.1"
-requires_python = ">=3.5"
+version = "2.1.0"
+requires_python = ">=3.8"
 summary = "Get the currently executing AST node of a frame, and other information"
 groups = ["dev", "doc"]
 files = [
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@@ -1393,7 +1476,7 @@ files = [
 
 [[package]]
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-version = "27.0.0"
+version = "28.1.0"
 requires_python = ">=3.8"
 summary = "Faker is a Python package that generates fake data for you."
 groups = ["test"]
@@ -1401,13 +1484,13 @@ dependencies = [
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 ]
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 ]
 
 [[package]]
 name = "fastapi"
-version = "0.112.1"
+version = "0.112.2"
 requires_python = ">=3.8"
 summary = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 groups = ["test"]
@@ -1417,13 +1500,13 @@ dependencies = [
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 ]
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 [[package]]
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-version = "0.3.4"
+version = "0.3.6"
 requires_python = "<3.13,>=3.8.0"
 summary = "Fast, light, accurate library built for retrieval embedding generation"
 groups = ["test"]
@@ -1443,8 +1526,8 @@ dependencies = [
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 [[package]]
@@ -1491,7 +1574,7 @@ files = [
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 version = "24.3.25"
 summary = "The FlatBuffers serialization format for Python"
-groups = ["ml_runtime", "test"]
+groups = ["tensorflow", "test"]
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@@ -1520,6 +1603,14 @@ files = [
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@@ -1583,6 +1674,21 @@ files = [
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@@ -1651,8 +1757,7 @@ name = "gast"
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 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 summary = "Python AST that abstracts the underlying Python version"
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+groups = ["tensorflow"]
 files = [
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@@ -1706,7 +1811,7 @@ files = [
 
 [[package]]
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-version = "2.19.1"
+version = "2.19.2"
 requires_python = ">=3.7"
 summary = "Google API client core library"
 groups = ["test"]
@@ -1718,32 +1823,32 @@ dependencies = [
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 ]
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 ]
 
 [[package]]
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-version = "2.19.1"
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 extras = ["grpc"]
 requires_python = ">=3.7"
 summary = "Google API client core library"
 groups = ["test"]
 dependencies = [
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+    "google-api-core==2.19.2",
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-version = "2.141.0"
+version = "2.143.0"
 requires_python = ">=3.7"
 summary = "Google API Client Library for Python"
 groups = ["test"]
@@ -1755,8 +1860,8 @@ dependencies = [
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 ]
 files = [
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 ]
 
 [[package]]
@@ -1764,7 +1869,7 @@ name = "google-auth"
 version = "2.34.0"
 requires_python = ">=3.7"
 summary = "Google Authentication Library"
-groups = ["default", "ml_runtime", "test"]
+groups = ["default", "test"]
 dependencies = [
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-requires_python = ">=3.6"
-summary = "Google Authentication Library"
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
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-    "requests-oauthlib>=0.7.0",
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 [[package]]
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@@ -1829,8 +1918,7 @@ files = [
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-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+groups = ["tensorflow"]
 dependencies = [
     "six",
 ]
@@ -1841,7 +1929,7 @@ files = [
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.63.2"
+version = "1.65.0"
 requires_python = ">=3.7"
 summary = "Common protobufs used in Google APIs"
 groups = ["test"]
@@ -1849,8 +1937,8 @@ dependencies = [
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@@ -1965,39 +2062,48 @@ files = [
 
 [[package]]
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+version = "1.66.1"
 requires_python = ">=3.8"
 summary = "HTTP/2-based RPC framework"
-groups = ["ml_runtime", "test"]
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 requires_python = ">=3.7"
 summary = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
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 dependencies = [
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 requires_python = ">=3.8"
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-groups = ["ml_runtime"]
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+groups = ["tensorflow"]
 dependencies = [
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 requires_python = ">=3.8"
 summary = "A minimal low-level HTTP client."
-groups = ["dev", "llm", "talk", "test"]
+groups = ["dev", "llm", "ml_runtime", "talk", "test"]
 dependencies = [
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 [[package]]
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 requires_python = ">=3.8"
 summary = "The next generation HTTP client."
-groups = ["dev", "llm", "talk", "test"]
+groups = ["dev", "llm", "ml_runtime", "talk", "test"]
 dependencies = [
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 [[package]]
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 summary = "Internationalized Domain Names in Applications (IDNA)"
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 [[package]]
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 requires_python = ">=3.8"
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 dependencies = [
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@@ -2238,7 +2347,7 @@ files = [
 
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 groups = ["dev", "llm", "ml_runtime"]
@@ -2247,8 +2356,8 @@ dependencies = [
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 [[package]]
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 groups = ["dev"]
 dependencies = [
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 requires_python = ">=3.8"
 summary = "Lightweight pipelining with Python functions"
-groups = ["default", "dev", "hub", "llm", "ml_runtime", "talk", "test"]
+groups = ["default", "dev", "llm", "ml_runtime", "talk", "test"]
 files = [
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@@ -2591,21 +2712,20 @@ files = [
 
 [[package]]
 name = "jupyter"
-version = "1.0.0"
+version = "1.1.1"
 summary = "Jupyter metapackage. Install all the Jupyter components in one go."
 groups = ["dev"]
 dependencies = [
     "ipykernel",
     "ipywidgets",
     "jupyter-console",
+    "jupyterlab",
     "nbconvert",
     "notebook",
-    "qtconsole",
 ]
 files = [
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 [[package]]
@@ -2748,7 +2868,7 @@ files = [
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.4"
+version = "4.2.5"
 requires_python = ">=3.8"
 summary = "JupyterLab computational environment"
 groups = ["dev"]
@@ -2771,8 +2891,8 @@ dependencies = [
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 files = [
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 ]
 
 [[package]]
@@ -2809,25 +2929,34 @@ files = [
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.11"
+version = "3.0.13"
 requires_python = ">=3.7"
 summary = "Jupyter interactive widgets for JupyterLab"
 groups = ["dev"]
 files = [
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 ]
 
 [[package]]
 name = "keras"
-version = "2.14.0"
+version = "3.5.0"
 requires_python = ">=3.9"
-summary = "Deep learning for humans."
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+summary = "Multi-backend Keras."
+groups = ["tensorflow"]
+dependencies = [
+    "absl-py",
+    "h5py",
+    "ml-dtypes",
+    "namex",
+    "numpy",
+    "optree",
+    "packaging",
+    "rich",
+]
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 ]
 
 [[package]]
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@@ -2895,7 +3039,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.14"
+version = "0.2.15"
 requires_python = "<4.0,>=3.8.1"
 summary = "Building applications with LLMs through composability"
 groups = ["ml_runtime", "test"]
@@ -2904,7 +3048,7 @@ dependencies = [
     "SQLAlchemy<3,>=1.4",
     "aiohttp<4.0.0,>=3.8.3",
     "async-timeout<5.0.0,>=4.0.0; python_version < \"3.11\"",
-    "langchain-core<0.3.0,>=0.2.32",
+    "langchain-core<0.3.0,>=0.2.35",
     "langchain-text-splitters<0.3.0,>=0.2.0",
     "langsmith<0.2.0,>=0.1.17",
     "numpy<2,>=1; python_version < \"3.12\"",
@@ -2914,13 +3058,13 @@ dependencies = [
     "tenacity!=8.4.0,<9.0.0,>=8.1.0",
 ]
 files = [
-    {file = "langchain-0.2.14-py3-none-any.whl", hash = "sha256:eed76194ee7d9c081037a3df7868d4de90e0410b51fc1ca933a8379e464bf40c"},
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+    {file = "langchain-0.2.15-py3-none-any.whl", hash = "sha256:9e6231441870aaa8523be24a5785ccccfdde759a7e27dd082b6ec80f68e49dec"},
+    {file = "langchain-0.2.15.tar.gz", hash = "sha256:f613ce7594be34f9bac687134a56f6e8274951907b798dbd037aefc95df78953"},
 ]
 
 [[package]]
 name = "langchain-community"
-version = "0.2.12"
+version = "0.2.15"
 requires_python = "<4.0,>=3.8.1"
 summary = "Community contributed LangChain integrations."
 groups = ["ml_runtime", "test"]
@@ -2929,8 +3073,8 @@ dependencies = [
     "SQLAlchemy<3,>=1.4",
     "aiohttp<4.0.0,>=3.8.3",
     "dataclasses-json<0.7,>=0.5.7",
-    "langchain-core<0.3.0,>=0.2.30",
-    "langchain<0.3.0,>=0.2.13",
+    "langchain-core<0.3.0,>=0.2.37",
+    "langchain<0.3.0,>=0.2.15",
     "langsmith<0.2.0,>=0.1.0",
     "numpy<2,>=1; python_version < \"3.12\"",
     "numpy<2.0.0,>=1.26.0; python_version >= \"3.12\"",
@@ -2938,13 +3082,13 @@ dependencies = [
     "tenacity!=8.4.0,<9.0.0,>=8.1.0",
 ]
 files = [
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+    {file = "langchain_community-0.2.15-py3-none-any.whl", hash = "sha256:edcf8e9829559822a044a193b66cbea40600b8b9ce9b435fa0ae96f69377be46"},
+    {file = "langchain_community-0.2.15.tar.gz", hash = "sha256:5bd5a6d055b07ee228eb6a9f0ca59d8124a1d450e4c82a6a62cec3add3cb73a9"},
 ]
 
 [[package]]
 name = "langchain-core"
-version = "0.2.33"
+version = "0.2.37"
 requires_python = "<4.0,>=3.8.1"
 summary = "Building applications with LLMs through composability"
 groups = ["ml_runtime", "test"]
@@ -2959,24 +3103,24 @@ dependencies = [
     "typing-extensions>=4.7",
 ]
 files = [
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+    {file = "langchain_core-0.2.37.tar.gz", hash = "sha256:944de6cfaad72de5641f6765d5310a022fcd9943f10735507ea040cc5fb95011"},
 ]
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.22"
+version = "0.1.23"
 requires_python = "<4.0,>=3.8.1"
 summary = "An integration package connecting OpenAI and LangChain"
 groups = ["test"]
 dependencies = [
-    "langchain-core<0.3.0,>=0.2.33",
+    "langchain-core<0.3.0,>=0.2.35",
     "openai<2.0.0,>=1.40.0",
     "tiktoken<1,>=0.7",
 ]
 files = [
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+    {file = "langchain_openai-0.1.23-py3-none-any.whl", hash = "sha256:8e3d215803e157f26480c6108eb4333629832b1a0e746723060c24f93b8b78f4"},
+    {file = "langchain_openai-0.1.23.tar.gz", hash = "sha256:ed7f16671ea0af177ac5f82d5645a746c5097c56f97b31798e5c07b5c84f0eed"},
 ]
 
 [[package]]
@@ -3007,19 +3151,20 @@ files = [
 
 [[package]]
 name = "langsmith"
-version = "0.1.99"
+version = "0.1.108"
 requires_python = "<4.0,>=3.8.1"
 summary = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 groups = ["ml_runtime", "test"]
 dependencies = [
+    "httpx<1,>=0.23.0",
     "orjson<4.0.0,>=3.9.14",
     "pydantic<3,>=1; python_full_version < \"3.12.4\"",
     "pydantic<3.0.0,>=2.7.4; python_full_version >= \"3.12.4\"",
     "requests<3,>=2",
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 files = [
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+    {file = "langsmith-0.1.108.tar.gz", hash = "sha256:42f603e2d5770ba36093951bdb29eaab22451cb12ab8c062340c722cf60d4cec"},
 ]
 
 [[package]]
@@ -3037,8 +3182,7 @@ files = [
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 version = "18.1.1"
 summary = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+groups = ["tensorflow"]
 files = [
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@@ -3091,7 +3235,7 @@ name = "llvmlite"
 version = "0.43.0"
 requires_python = ">=3.9"
 summary = "lightweight wrapper around basic LLVM functionality"
-groups = ["hub", "llm", "talk", "test"]
+groups = ["llm", "talk", "test"]
 files = [
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@@ -3103,6 +3247,11 @@ files = [
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@@ -3111,16 +3260,6 @@ files = [
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-summary = "Platform-independent file locking module"
-groups = ["hub"]
-files = [
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-]
-
 [[package]]
 name = "loguru"
 version = "0.7.2"
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@@ -3229,7 +3385,7 @@ name = "markdown"
 version = "3.7"
 requires_python = ">=3.8"
 summary = "Python implementation of John Gruber's Markdown."
-groups = ["default", "dev", "ml_runtime"]
+groups = ["default", "dev", "ml_runtime", "tensorflow"]
 dependencies = [
     "importlib-metadata>=4.4; python_version < \"3.10\"",
 ]
@@ -3243,7 +3399,7 @@ name = "markdown-it-py"
 version = "3.0.0"
 requires_python = ">=3.8"
 summary = "Python port of markdown-it. Markdown parsing, done right!"
-groups = ["doc", "test"]
+groups = ["doc", "tensorflow", "test"]
 dependencies = [
     "mdurl~=0.1",
 ]
@@ -3275,7 +3431,7 @@ name = "markupsafe"
 version = "2.1.5"
 requires_python = ">=3.7"
 summary = "Safely add untrusted strings to HTML/XML markup."
-groups = ["default", "dev", "doc", "llm", "ml_runtime", "test"]
+groups = ["default", "dev", "doc", "llm", "ml_runtime", "tensorflow", "test"]
 files = [
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@@ -3297,6 +3453,16 @@ files = [
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+    {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
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@@ -3312,7 +3478,7 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.3"
+version = "3.22.0"
 requires_python = ">=3.8"
 summary = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 groups = ["ml_runtime", "test"]
@@ -3320,8 +3486,8 @@ dependencies = [
     "packaging>=17.0",
 ]
 files = [
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 ]
 
 [[package]]
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+    {file = "matplotlib-3.9.2-cp312-cp312-win_amd64.whl", hash = "sha256:5413401594cfaff0052f9d8b1aafc6d305b4bd7c4331dccd18f561ff7e1d3bd3"},
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@@ -3401,7 +3573,7 @@ name = "mdurl"
 version = "0.1.2"
 requires_python = ">=3.7"
 summary = "Markdown URL utilities"
-groups = ["doc", "test"]
+groups = ["doc", "tensorflow", "test"]
 files = [
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@@ -3434,6 +3606,13 @@ files = [
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@@ -3488,30 +3667,34 @@ files = [
 
 [[package]]
 name = "ml-dtypes"
-version = "0.2.0"
-requires_python = ">=3.7"
+version = "0.3.2"
+requires_python = ">=3.9"
 summary = ""
-groups = ["ml_runtime"]
-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
+groups = ["tensorflow"]
 dependencies = [
     "numpy>1.20",
-    "numpy>=1.21.2; python_version > \"3.9\"",
-    "numpy>=1.23.3; python_version > \"3.10\"",
+    "numpy>=1.21.2; python_version >= \"3.10\"",
+    "numpy>=1.23.3; python_version >= \"3.11\"",
+    "numpy>=1.26.0; python_version >= \"3.12\"",
 ]
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 summary = "The official Python library for the openai API"
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 groups = ["default"]
 dependencies = [
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+groups = ["tensorflow"]
 dependencies = [
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 dependencies = [
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 requires_python = ">=3.8"
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-groups = ["dev", "doc", "ml_runtime"]
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 requires_python = ">=3.8"
 summary = "An open-source, interactive data visualization library for Python"
 groups = ["ml_runtime"]
@@ -4656,8 +4985,8 @@ dependencies = [
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 requires_python = ">=3.8"
 summary = ""
-groups = ["default", "dev", "ml_runtime", "test"]
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-groups = ["dev", "hub", "ml_runtime"]
+groups = ["dev", "ml_runtime"]
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 requires_python = ">=3.8"
 summary = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
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 version = "0.4.0"
 requires_python = ">=3.8"
 summary = "A collection of ASN.1-based protocols modules"
-groups = ["default", "doc", "ml_runtime", "test"]
+groups = ["default", "doc", "test"]
 dependencies = [
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 summary = "Python 2 and 3 compatibility utilities"
-groups = ["default", "dev", "doc", "hub", "llm", "ml_runtime", "talk", "test"]
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 version = "0.0.7"
 requires_python = ">=3.6"
 summary = "A small package for big slicing."
-groups = ["hub", "talk", "test"]
+groups = ["talk", "test"]
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 requires_python = ">=3.7"
 summary = "Sniff out which async library your code is running under"
-groups = ["dev", "doc", "llm", "talk", "test"]
+groups = ["dev", "doc", "llm", "ml_runtime", "talk", "test"]
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 requires_python = ">=3.8"
 summary = "Sphinx API documentation generator"
 groups = ["doc"]
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     "astroid>=3.0.0a1; python_version >= \"3.12\"",
     "sphinx>=6.1.0",
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 requires_python = ">=3.8"
 summary = "The little ASGI library that shines."
 groups = ["doc", "test"]
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+summary = "A list of Python Standard Libraries (2.7 through 3.12)."
+groups = ["doc"]
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 [[package]]
@@ -6585,7 +6957,7 @@ name = "tenacity"
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 requires_python = ">=3.8"
 summary = "Retry code until it succeeds"
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@@ -6593,27 +6965,23 @@ files = [
 
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 requires_python = ">=3.9"
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-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\" or sys_platform == \"darwin\" and platform_machine == \"arm64\""
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-    "protobuf>=3.19.6",
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 [[package]]
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@@ -6631,11 +6998,10 @@ files = [
 
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-marker = "platform_system != \"Windows\" and sys_platform != \"win32\" or (sys_platform == \"linux\" or sys_platform == \"darwin\") and platform_machine == \"x86_64\" and python_version < \"3.11\""
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 dependencies = [
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 [[package]]
@@ -6788,8 +7172,7 @@ name = "termcolor"
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-groups = ["ml_runtime"]
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@@ -6813,31 +7196,35 @@ files = [
 
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 groups = ["test"]
 marker = "sys_platform == \"linux\" or sys_platform == \"darwin\""
 dependencies = [
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 [[package]]
@@ -6845,7 +7232,7 @@ name = "threadpoolctl"
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 requires_python = ">=3.8"
 summary = "threadpoolctl"
-groups = ["default", "dev", "hub", "llm", "ml_runtime", "talk", "test"]
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 dependencies = [
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 summary = "Simple, modern and high performance file watching and code reload in python."
 groups = ["doc"]
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+    {file = "zope.interface-7.0.3.tar.gz", hash = "sha256:cd2690d4b08ec9eaf47a85914fe513062b20da78d10d6d789a792c0b20307fb1"},
 ]
 
 [[package]]
@@ -7962,6 +8423,22 @@ files = [
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diff --git a/pyproject.toml b/pyproject.toml
index 3534c61846..78a49c9f0b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -69,20 +69,14 @@ ml_runtime = [
     "imbalanced-learn>=0.12.0",
     "catboost>=1.1.1",
     "requests-mock>=1.10.0",
-    "tensorflow-hub>=0.12.0; sys_platform != 'win32' and platform_system !='Windows'",
     "transformers>=4.34.1, <4.43.0",
     "sentencepiece",                                                                      # needed for some transformers stuff with tokenizer
     "torch>=2.0.0, < 2.3.0",
     "torchdata>=0.6.0, <0.8.0",
     "portalocker>=2.0.0",                                                                 # Needed by torchdata for test_newspaper_classification_pytorch_dataset
     "torchtext>=0.15.1, < 1.8",
-    "tensorflow-macos==2.14.0; sys_platform == 'darwin' and platform_machine == 'arm64'",
-    "tensorflow==2.14.0; sys_platform != 'win32' and platform_system !='Windows'",
-    # tensorflow-text is only available on linux or mac, but not for arm64 nor windows
-    "tensorflow-text==2.14.0; python_version < '3.11' and (sys_platform == 'linux' or sys_platform == 'darwin') and platform_machine == 'x86_64'",
     "mlflow>2,<2.12", # version 2.12 throws error with imbalance-learn
-    "wandb",
-    "tensorflow-io-gcs-filesystem<0.32;  sys_platform != 'win32' and platform_system !='Windows' and platform_machine != 'arm64'", # Tensorflow io does not work for windows from 0.32, but does not work for arm64 before...                                                                              # Tensorflow io does not work for windows from 0.32, but does not work for arm64 before...
+    "wandb"
 ]
 test = [
     "google.generativeai",
@@ -114,7 +108,6 @@ doc = [
     "ipython==8.12.0",
     "scrapy",
     "requests",
-    "requests",
 ]
 
 [project.entry-points."mlflow.model_evaluator"]
@@ -151,14 +144,15 @@ classifiers = [
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
 ]
 
-requires-python = ">=3.9, <3.12"
+requires-python = ">=3.9, <3.13"
 dependencies = [
     "cloudpickle>=1.1.1",
     "zstandard>=0.10.0",
     "mlflow-skinny>=2",
-    "numpy>=1.22.0, <2",
+    "numpy>=1.26.0, <2",
     "scikit-learn>=1.0",
     "scipy>=1.7.3, <1.12.0",
     "mixpanel>=4.4.0",
@@ -198,6 +192,12 @@ talk = [
     "shap<0.44.1,>=0.41.0",
     "tabulate==0.9.0",
 ]
+tensorflow = [
+    "tensorflow-hub>=0.16.0; sys_platform != 'win32' and platform_system !='Windows'",
+    "tensorflow-macos==2.16.2; sys_platform == 'darwin' and platform_machine == 'arm64'",
+    "tensorflow==2.16.2",
+    "tensorflow-text==2.16.1; python_version < '3.11' and (sys_platform == 'linux' or sys_platform == 'darwin') and platform_machine == 'x86_64'",
+]
 
 [tool.ruff]
 line-length = 120
@@ -205,7 +205,7 @@ ignore = ["E501"]
 
 [tool.black]
 # https://github.com/psf/black
-target-version = ['py39', 'py310', 'py311']
+target-version = ['py39', 'py310', 'py311', 'py312']
 line-length = 120
 color = true
 
diff --git a/tests/datasets/test_metadata_loading.py b/tests/datasets/test_metadata_loading.py
index 4a46d9a19c..4bd642aabb 100644
--- a/tests/datasets/test_metadata_loading.py
+++ b/tests/datasets/test_metadata_loading.py
@@ -18,23 +18,23 @@ def _make_dataset():
 
 def test_metadata_are_passed_to_dataset_copy():
     dataset = _make_dataset()
-    with patch("giskard.datasets.metadata.indexing.MetadataIndexer") as indexer:
+    with patch("giskard.datasets.metadata.indexing.MetadataIndexer"):
         dataset.copy()
-        indexer.load_meta.called_once_with(dataset.column_meta)
+        dataset.column_meta.load_meta.assert_called_once_with(dataset.column_meta)
 
 
 def test_metadata_are_passed_to_dataset_slice():
     dataset = _make_dataset()
-    with patch("giskard.datasets.metadata.indexing.MetadataIndexer") as indexer:
+    with patch("giskard.datasets.metadata.indexing.MetadataIndexer"):
         dataset.slice(lambda df: df.head(10), row_level=False)
-        indexer.load_meta.called_once_with(dataset.column_meta)
+        dataset.column_meta.load_meta.assert_called_once_with(dataset.column_meta)
 
 
 def test_metadata_are_regenerated_after_dataset_transform():
     dataset = _make_dataset()
     with patch("giskard.datasets.metadata.indexing.MetadataIndexer") as indexer:
         dataset.transform(lambda df: df, row_level=False)
-        indexer.load_meta.not_called()
+        indexer.load_meta.assert_not_called()
 
 
 def test_metadata_returned_on_dataset_copy():
diff --git a/tests/integrations/test_mlflow.py b/tests/integrations/test_mlflow.py
index 69728182e7..1d83c26359 100644
--- a/tests/integrations/test_mlflow.py
+++ b/tests/integrations/test_mlflow.py
@@ -1,4 +1,5 @@
 import os
+import sys
 from pathlib import Path
 from tempfile import TemporaryDirectory
 
@@ -55,7 +56,11 @@ def test_fast(dataset_name, model_name, request):
 @pytest.mark.parametrize(
     "dataset_name,model_name",
     [
-        ("breast_cancer_data", "breast_cancer_model"),
+        pytest.param(
+            "breast_cancer_data",
+            "breast_cancer_model",
+            marks=pytest.mark.skipif(sys.platform == "darwin", reason="xboost issue on macos"),
+        ),
         ("german_credit_data", "german_credit_model"),
         ("enron_data_full", "enron_model"),
         ("medical_transcript_data", "medical_transcript_model"),
diff --git a/tests/integrations/test_wandb.py b/tests/integrations/test_wandb.py
index e71be6c9fc..31cfa5bcae 100644
--- a/tests/integrations/test_wandb.py
+++ b/tests/integrations/test_wandb.py
@@ -1,3 +1,5 @@
+import sys
+
 import pytest
 import wandb
 
@@ -36,7 +38,11 @@ def test_fast(dataset_name, model_name, request):
 @pytest.mark.parametrize(
     "dataset_name,model_name",
     [
-        ("breast_cancer_data", "breast_cancer_model"),
+        pytest.param(
+            "breast_cancer_data",
+            "breast_cancer_model",
+            marks=pytest.mark.skipif(sys.platform == "darwin", reason="xboost issue on macos"),
+        ),
         ("german_credit_data", "german_credit_model"),
         ("enron_data_full", "enron_model"),
         ("medical_transcript_data", "medical_transcript_model"),
diff --git a/tests/models/tensorflow/test_text_classification_tfhub.py b/tests/models/tensorflow/test_text_classification_tfhub.py
index 091b2ae4af..382140a261 100644
--- a/tests/models/tensorflow/test_text_classification_tfhub.py
+++ b/tests/models/tensorflow/test_text_classification_tfhub.py
@@ -9,6 +9,8 @@
 from giskard.models.tensorflow import TensorFlowModel
 
 tf = pytest.importorskip("tensorflow")
+# Use keras 2: https://github.com/tensorflow/hub/issues/903
+keras = pytest.importorskip("tf_keras")
 
 
 @pytest.mark.memory_expensive
@@ -35,15 +37,15 @@ def test_text_classification_tfhub():
     test_df = pd.DataFrame(list(zip(list(x_test), list(y_test))), columns=["Content", "Target"])
 
     def build_classifier_model():
-        text_input = tf.keras.layers.Input(shape=(), dtype=tf.string, name="text")
+        text_input = keras.layers.Input(shape=(), dtype=tf.string, name="text")
         preprocessing_layer = hub.KerasLayer(tfhub_handle_preprocess, name="preprocessing")
         encoder_inputs = preprocessing_layer(text_input)
         encoder = hub.KerasLayer(tfhub_handle_encoder, trainable=True, name="BERT_encoder")
         outputs = encoder(encoder_inputs)
         net = outputs["pooled_output"]
-        net = tf.keras.layers.Dropout(0.1)(net)
-        net = tf.keras.layers.Dense(4, activation="softmax", name="classifier")(net)
-        return tf.keras.Model(inputs=text_input, outputs=net)
+        net = keras.layers.Dropout(0.1)(net)
+        net = keras.layers.Dense(4, activation="softmax", name="classifier")(net)
+        return keras.Model(inputs=text_input, outputs=net)
 
     model = build_classifier_model()
 
diff --git a/tests/models/test_function_model.py b/tests/models/test_function_model.py
index c0e06fbcad..a9bf4fba0d 100644
--- a/tests/models/test_function_model.py
+++ b/tests/models/test_function_model.py
@@ -64,12 +64,14 @@ def test_single_feature():
 COMPAT_TABLE = {
     "3.9": ["3.9", "3.10"],
     "3.10": ["3.9", "3.10"],
-    "3.11": ["3.11"],
+    "3.11": ["3.11", "3.12"],
+    "3.12": ["3.11", "3.12"],
 }
 PYTHON_MAJOR_VERSION = ".".join(platform.python_version_tuple()[:2])
 BACKWARD_COMPATIBILITY_MODEL_VERSIONS = {"3.9": "3.10", "3.10": "3.10", "3.11": "3.11"}
 
 
+# TODO: add 3.12 model fixture
 @pytest.mark.parametrize("py_ver", ["3.9", "3.10", "3.11"])
 def test_prediction_function_load(py_ver):
     model_path = Path(__file__).parent / "fixtures" / "func" / py_ver
diff --git a/tests/models/test_model_explanation.py b/tests/models/test_model_explanation.py
index 68d285839b..54c43e7beb 100644
--- a/tests/models/test_model_explanation.py
+++ b/tests/models/test_model_explanation.py
@@ -1,3 +1,5 @@
+import sys
+
 import numpy as np
 import pytest
 
@@ -81,7 +83,11 @@ def test_explain_text_regression(hotel_text_data, hotel_text_model):
     [
         ("hotel_text_data", "hotel_text_model"),
         ("german_credit_data", "german_credit_model"),
-        ("breast_cancer_data", "breast_cancer_model"),
+        pytest.param(
+            "breast_cancer_data",
+            "breast_cancer_model",
+            marks=pytest.mark.skipif(sys.platform == "darwin", reason="xboost issue on macos"),
+        ),
         ("drug_classification_data", "drug_classification_model"),
         ("diabetes_dataset_with_target", "linear_regression_diabetes"),
     ],
diff --git a/tests/scan/test_performance_bias_detector.py b/tests/scan/test_performance_bias_detector.py
index c2cda24d45..f99f353c2b 100644
--- a/tests/scan/test_performance_bias_detector.py
+++ b/tests/scan/test_performance_bias_detector.py
@@ -45,7 +45,7 @@ def test_performance_bias_detector_trims_large_dataset(german_credit_model, germ
     except (ValueError, TypeError):
         pass
 
-    assert normal_dataset.slice.not_called
+    normal_dataset.slice.assert_not_called()
 
 
 def test_performance_bias_detector_with_tabular(german_credit_model, german_credit_data):
diff --git a/tests/scan/test_scanner.py b/tests/scan/test_scanner.py
index 55ae49002f..8d3556057d 100644
--- a/tests/scan/test_scanner.py
+++ b/tests/scan/test_scanner.py
@@ -1,4 +1,5 @@
 import re
+import sys
 import warnings
 from unittest import mock
 
@@ -19,7 +20,11 @@
     "dataset_name,model_name",
     [
         ("german_credit_data", "german_credit_model"),
-        ("breast_cancer_data", "breast_cancer_model"),
+        pytest.param(
+            "breast_cancer_data",
+            "breast_cancer_model",
+            marks=pytest.mark.skipif(sys.platform == "darwin", reason="xboost issue on macos"),
+        ),
         ("drug_classification_data", "drug_classification_model"),
         ("diabetes_dataset_with_target", "linear_regression_diabetes"),
         ("hotel_text_data", "hotel_text_model"),
diff --git a/tests/utils/test_logging_utils.py b/tests/utils/test_logging_utils.py
index d6be48eb86..af54944bed 100644
--- a/tests/utils/test_logging_utils.py
+++ b/tests/utils/test_logging_utils.py
@@ -17,4 +17,4 @@ def test_other_package_log_level_unset():
 
 
 def test_root_log_level_default_warning():
-    assert logging.root.level == logging.WARNING, 'Root package log level should be set to default "WARNING"'
+    assert logging.getLogger().level == logging.WARNING, "Root package log level should be set to WARNING by default"