diff --git a/athena/athena/approach_discovery/discover_approaches.py b/athena/athena/approach_discovery/discover_approaches.py
new file mode 100644
index 000000000..d06749207
--- /dev/null
+++ b/athena/athena/approach_discovery/discover_approaches.py
@@ -0,0 +1,33 @@
+import importlib
+import pkgutil
+import inspect
+
+def discover_approach_configs(base_package, base_class=None):
+    """
+    Discover and return classes within the specified package.
+
+    Args:
+        base_package (str): The package to search.
+        base_class (type, optional): A base class to filter discovered classes. 
+                                     Only subclasses of this base class will be included.
+
+    Returns:
+        dict: A dictionary mapping class names to class objects.
+    """
+    classes = {}
+    package = importlib.import_module(base_package)
+
+    def recursive_import(package_name):
+        package = importlib.import_module(package_name)
+        for _, module_name, is_pkg in pkgutil.iter_modules(package.__path__):
+            full_module_name = f"{package_name}.{module_name}"
+            if is_pkg:
+                recursive_import(full_module_name)
+            else:
+                module = importlib.import_module(full_module_name)
+                for name, obj in inspect.getmembers(module, inspect.isclass):
+                    if base_class is None or (issubclass(obj, base_class) and obj is not base_class):
+                        classes[name] = obj
+
+    recursive_import(base_package)
+    return classes
\ No newline at end of file
diff --git a/athena/athena/approach_discovery/strategy_factory.py b/athena/athena/approach_discovery/strategy_factory.py
new file mode 100644
index 000000000..b23195321
--- /dev/null
+++ b/athena/athena/approach_discovery/strategy_factory.py
@@ -0,0 +1,74 @@
+from athena.approach_discovery.discover_approaches import discover_approach_configs
+from typing import List, Callable
+
+class SuggestionStrategyFactory:
+    """
+    A factory class for discovering, initializing, and retrieving suggestion strategies.
+
+    The `SuggestionStrategyFactory` dynamically loads strategy classes, associates them with 
+    specific configuration types, and provides instances of the strategies based on the given 
+    configuration. It supports modular discovery and initialization to handle a variety of 
+    strategies seamlessly.
+
+    Attributes:
+        _strategies (dict): A dictionary mapping configuration class names to their corresponding strategy classes.
+    """
+    _strategies: dict[str, Callable] = {}
+    def __init__(self, base_package: str, base_class: type):
+        """
+        Initialize the factory by providing the base package and base class for discovering strategies.
+
+        Args:
+            base_package (str): The base package to search for strategies and configurations.
+            base_class (type): The base class for configurations that strategies will be associated with.
+        """
+        self.base_package = base_package
+        self.base_class = base_class
+
+        # Initialize strategies on object creation
+        self.initialize_strategies()
+    
+    def initialize_strategies(self):
+        """
+        Initialize the factory by associating configuration types with their corresponding strategies.
+
+        This method uses the `discover_classes` function to identify configuration classes and their 
+        associated strategies. The mappings are stored in the `_strategies` dictionary for later retrieval.
+
+        Args:
+            base_package (str): The base package to search for strategies and configurations. 
+                                Defaults to "module_text_llm".
+        """
+        if not SuggestionStrategyFactory._strategies:
+            configs = discover_approach_configs(self.base_package, base_class=self.base_class)
+            # strategies = discover_approach_configs(base_package)
+
+            for config_name, config_class in configs.items():
+                strategy_class = configs.get(config_name)
+                if strategy_class:
+                    SuggestionStrategyFactory._strategies[config_name] = strategy_class
+
+    
+    def get_strategy(self, config):
+        """
+        Retrieve an instance of the strategy corresponding to the given configuration.
+
+        If the strategies have not been initialized, this method will initialize them first.
+        The method then matches the type of the provided configuration with the corresponding 
+        strategy class and returns an instance of it.
+
+        Args:
+            config (object): The configuration object for which the strategy is required.
+
+        Returns:
+            object: An instance of the strategy class associated with the given configuration.
+
+        Raises:
+            ValueError: If no strategy is found for the given configuration type.
+        """
+
+        config_type = type(config).__name__
+        strategy_class = SuggestionStrategyFactory._strategies.get(config_type)
+        if not strategy_class:
+            raise ValueError(f"No strategy found for config type: {config_type}")
+        return strategy_class()
\ No newline at end of file
diff --git a/log_viewer/poetry.lock b/log_viewer/poetry.lock
index e5690dc1d..e78f52272 100644
--- a/log_viewer/poetry.lock
+++ b/log_viewer/poetry.lock
@@ -2,158 +2,157 @@
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "astroid"
-version = "2.15.8"
+version = "3.3.8"
 description = "An abstract syntax tree for Python with inference support."
 optional = false
-python-versions = ">=3.7.2"
+python-versions = ">=3.9.0"
 files = [
-    {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"},
-    {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"},
+    {file = "astroid-3.3.8-py3-none-any.whl", hash = "sha256:187ccc0c248bfbba564826c26f070494f7bc964fd286b6d9fff4420e55de828c"},
+    {file = "astroid-3.3.8.tar.gz", hash = "sha256:a88c7994f914a4ea8572fac479459f4955eeccc877be3f2d959a33273b0cf40b"},
 ]
 
-[package.dependencies]
-lazy-object-proxy = ">=1.4.0"
-wrapt = {version = ">=1.14,<2", markers = "python_version >= \"3.11\""}
-
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.2"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
 files = [
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+    {file = "charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3"},
 ]
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+    {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
+    {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
 ]
 
 [package.dependencies]
@@ -172,13 +171,13 @@ files = [
 
 [[package]]
 name = "dill"
-version = "0.3.8"
+version = "0.3.9"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
-    {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+    {file = "dill-0.3.9-py3-none-any.whl", hash = "sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a"},
+    {file = "dill-0.3.9.tar.gz", hash = "sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c"},
 ]
 
 [package.extras]
@@ -187,24 +186,25 @@ profile = ["gprof2dot (>=2022.7.29)"]
 
 [[package]]
 name = "docker"
-version = "6.1.3"
+version = "7.1.0"
 description = "A Python library for the Docker Engine API."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "docker-6.1.3-py3-none-any.whl", hash = "sha256:aecd2277b8bf8e506e484f6ab7aec39abe0038e29fa4a6d3ba86c3fe01844ed9"},
-    {file = "docker-6.1.3.tar.gz", hash = "sha256:aa6d17830045ba5ef0168d5eaa34d37beeb113948c413affe1d5991fc11f9a20"},
+    {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"
-websocket-client = ">=0.32.0"
 
 [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)"]
 
 [[package]]
 name = "dodgy"
@@ -238,19 +238,19 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "flake8"
-version = "5.0.4"
+version = "7.1.1"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.8.1"
 files = [
-    {file = "flake8-5.0.4-py2.py3-none-any.whl", hash = "sha256:7a1cf6b73744f5806ab95e526f6f0d8c01c66d7bbe349562d22dfca20610b248"},
-    {file = "flake8-5.0.4.tar.gz", hash = "sha256:6fbe320aad8d6b95cec8b8e47bc933004678dc63095be98528b7bdd2a9f510db"},
+    {file = "flake8-7.1.1-py2.py3-none-any.whl", hash = "sha256:597477df7860daa5aa0fdd84bf5208a043ab96b8e96ab708770ae0364dd03213"},
+    {file = "flake8-7.1.1.tar.gz", hash = "sha256:049d058491e228e03e67b390f311bbf88fce2dbaa8fa673e7aea87b7198b8d38"},
 ]
 
 [package.dependencies]
 mccabe = ">=0.7.0,<0.8.0"
-pycodestyle = ">=2.9.0,<2.10.0"
-pyflakes = ">=2.5.0,<2.6.0"
+pycodestyle = ">=2.12.0,<2.13.0"
+pyflakes = ">=3.2.0,<3.3.0"
 
 [[package]]
 name = "flake8-polyfill"
@@ -268,13 +268,13 @@ flake8 = "*"
 
 [[package]]
 name = "gitdb"
-version = "4.0.11"
+version = "4.0.12"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+    {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
+    {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
 ]
 
 [package.dependencies]
@@ -282,20 +282,20 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.43"
+version = "3.1.44"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"},
-    {file = "GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c"},
+    {file = "GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110"},
+    {file = "gitpython-3.1.44.tar.gz", hash = "sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269"},
 ]
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
 [package.extras]
-doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
+doc = ["sphinx (>=7.1.2,<7.2)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"]
 test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
 
 [[package]]
@@ -311,15 +311,18 @@ files = [
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
-    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "isort"
 version = "5.13.2"
@@ -334,52 +337,6 @@ files = [
 [package.extras]
 colors = ["colorama (>=0.4.6)"]
 
-[[package]]
-name = "lazy-object-proxy"
-version = "1.10.0"
-description = "A fast and thorough lazy object proxy."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "lazy-object-proxy-1.10.0.tar.gz", hash = "sha256:78247b6d45f43a52ef35c25b5581459e85117225408a4128a3daf8bf9648ac69"},
-    {file = "lazy_object_proxy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:855e068b0358ab916454464a884779c7ffa312b8925c6f7401e952dcf3b89977"},
-    {file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab7004cf2e59f7c2e4345604a3e6ea0d92ac44e1c2375527d56492014e690c3"},
-    {file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc0d2fc424e54c70c4bc06787e4072c4f3b1aa2f897dfdc34ce1013cf3ceef05"},
-    {file = "lazy_object_proxy-1.10.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e2adb09778797da09d2b5ebdbceebf7dd32e2c96f79da9052b2e87b6ea495895"},
-    {file = "lazy_object_proxy-1.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b1f711e2c6dcd4edd372cf5dec5c5a30d23bba06ee012093267b3376c079ec83"},
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-]
-
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -450,13 +407,13 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
-    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
+    {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
+    {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
 ]
 
 [[package]]
@@ -475,68 +432,67 @@ flake8-polyfill = ">=1.0.2,<2"
 
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
-    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
+    {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
+    {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
-type = ["mypy (>=1.8)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "prospector"
-version = "1.10.3"
+version = "1.13.3"
 description = "Prospector is a tool to analyse Python code by aggregating the result of other tools."
 optional = false
-python-versions = ">=3.7.2,<4.0"
+python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "prospector-1.13.3-py3-none-any.whl", hash = "sha256:e7261c222ba54bc8aef8c9e31b2dcf5ed2a656c9b76fc0cceab294cd5ec3db6b"},
+    {file = "prospector-1.13.3.tar.gz", hash = "sha256:36ccb13f69aa27c5c4682afd4cc46219b9e0c80723e30dc64ff30c71f7b877a1"},
 ]
 
 [package.dependencies]
 dodgy = ">=0.2.1,<0.3.0"
-flake8 = "<6.0.0"
 GitPython = ">=3.1.27,<4.0.0"
 mccabe = ">=0.7.0,<0.8.0"
 packaging = "*"
 pep8-naming = ">=0.3.3,<=0.10.0"
 pycodestyle = ">=2.9.0"
 pydocstyle = ">=2.0.0"
-pyflakes = ">=2.2.0,<3"
-pylint = ">=2.8.3"
+pyflakes = ">=2.2.0"
+pylint = ">=3.0"
 pylint-celery = "0.3"
-pylint-django = ">=2.5,<2.6"
+pylint-django = ">=2.6.1"
 pylint-flask = "0.6"
-pylint-plugin-utils = ">=0.7,<0.8"
 PyYAML = "*"
-requirements-detector = ">=1.2.0"
+requirements-detector = ">=1.3.2"
 setoptconf-tmp = ">=0.3.1,<0.4.0"
 toml = ">=0.10.2,<0.11.0"
 
 [package.extras]
 with-bandit = ["bandit (>=1.5.1)"]
-with-everything = ["bandit (>=1.5.1)", "mypy (>=0.600)", "pyright (>=1.1.3)", "pyroma (>=2.4)", "vulture (>=1.5)"]
+with-everything = ["bandit (>=1.5.1)", "mypy (>=0.600)", "pyright (>=1.1.3)", "pyroma (>=2.4)", "ruff", "vulture (>=1.5)"]
 with-mypy = ["mypy (>=0.600)"]
 with-pyright = ["pyright (>=1.1.3)"]
 with-pyroma = ["pyroma (>=2.4)"]
+with-ruff = ["ruff"]
 with-vulture = ["vulture (>=1.5)"]
 
 [[package]]
 name = "pycodestyle"
-version = "2.9.1"
+version = "2.12.1"
 description = "Python style guide checker"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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+    {file = "pycodestyle-2.12.1-py2.py3-none-any.whl", hash = "sha256:46f0fb92069a7c28ab7bb558f05bfc0110dac69a0cd23c61ea0040283a9d78b3"},
+    {file = "pycodestyle-2.12.1.tar.gz", hash = "sha256:6838eae08bbce4f6accd5d5572075c63626a15ee3e6f842df996bf62f6d73521"},
 ]
 
 [[package]]
@@ -617,31 +573,31 @@ toml = ["tomli (>=1.2.3)"]
 
 [[package]]
 name = "pyflakes"
-version = "2.5.0"
+version = "3.2.0"
 description = "passive checker of Python programs"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "pyflakes-2.5.0-py2.py3-none-any.whl", hash = "sha256:4579f67d887f804e67edb544428f264b7b24f435b263c4614f384135cea553d2"},
-    {file = "pyflakes-2.5.0.tar.gz", hash = "sha256:491feb020dca48ccc562a8c0cbe8df07ee13078df59813b83959cbdada312ea3"},
+    {file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
+    {file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
 ]
 
 [[package]]
 name = "pylint"
-version = "2.17.7"
+version = "3.3.3"
 description = "python code static checker"
 optional = false
-python-versions = ">=3.7.2"
+python-versions = ">=3.9.0"
 files = [
-    {file = "pylint-2.17.7-py3-none-any.whl", hash = "sha256:27a8d4c7ddc8c2f8c18aa0050148f89ffc09838142193fdbe98f172781a3ff87"},
-    {file = "pylint-2.17.7.tar.gz", hash = "sha256:f4fcac7ae74cfe36bc8451e931d8438e4a476c20314b1101c458ad0f05191fad"},
+    {file = "pylint-3.3.3-py3-none-any.whl", hash = "sha256:26e271a2bc8bce0fc23833805a9076dd9b4d5194e2a02164942cb3cdc37b4183"},
+    {file = "pylint-3.3.3.tar.gz", hash = "sha256:07c607523b17e6d16e2ae0d7ef59602e332caa762af64203c24b41c27139f36a"},
 ]
 
 [package.dependencies]
-astroid = ">=2.15.8,<=2.17.0-dev0"
+astroid = ">=3.3.8,<=3.4.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = {version = ">=0.3.6", markers = "python_version >= \"3.11\""}
-isort = ">=4.2.5,<6"
+isort = ">=4.2.5,<5.13.0 || >5.13.0,<6"
 mccabe = ">=0.6,<0.8"
 platformdirs = ">=2.2.0"
 tomlkit = ">=0.10.1"
@@ -667,22 +623,21 @@ pylint-plugin-utils = ">=0.2.1"
 
 [[package]]
 name = "pylint-django"
-version = "2.5.3"
+version = "2.6.1"
 description = "A Pylint plugin to help Pylint understand the Django web framework"
 optional = false
-python-versions = "*"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "pylint-django-2.5.3.tar.gz", hash = "sha256:0ac090d106c62fe33782a1d01bda1610b761bb1c9bf5035ced9d5f23a13d8591"},
-    {file = "pylint_django-2.5.3-py3-none-any.whl", hash = "sha256:56b12b6adf56d548412445bd35483034394a1a94901c3f8571980a13882299d5"},
+    {file = "pylint-django-2.6.1.tar.gz", hash = "sha256:19e8c85a8573a04e3de7be2ba91e9a7c818ebf05e1b617be2bbae67a906b725f"},
+    {file = "pylint_django-2.6.1-py3-none-any.whl", hash = "sha256:359f68fe8c810ee6bc8e1ab4c83c19b15a43b234a24b08978f47a23462b5ce28"},
 ]
 
 [package.dependencies]
-pylint = ">=2.0,<3"
-pylint-plugin-utils = ">=0.7"
+pylint = ">=3.0,<4"
+pylint-plugin-utils = ">=0.8"
 
 [package.extras]
-for-tests = ["coverage", "django-tables2", "django-tastypie", "factory-boy", "pylint (>=2.13)", "pytest", "wheel"]
-with-django = ["Django"]
+with-django = ["Django (>=2.2)"]
 
 [[package]]
 name = "pylint-flask"
@@ -699,13 +654,13 @@ pylint-plugin-utils = ">=0.2.1"
 
 [[package]]
 name = "pylint-plugin-utils"
-version = "0.7"
+version = "0.8.2"
 description = "Utilities and helpers for writing Pylint plugins"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7,<4.0"
 files = [
-    {file = "pylint-plugin-utils-0.7.tar.gz", hash = "sha256:ce48bc0516ae9415dd5c752c940dfe601b18fe0f48aa249f2386adfa95a004dd"},
-    {file = "pylint_plugin_utils-0.7-py3-none-any.whl", hash = "sha256:b3d43e85ab74c4f48bb46ae4ce771e39c3a20f8b3d56982ab17aa73b4f98d535"},
+    {file = "pylint_plugin_utils-0.8.2-py3-none-any.whl", hash = "sha256:ae11664737aa2effbf26f973a9e0b6779ab7106ec0adc5fe104b0907ca04e507"},
+    {file = "pylint_plugin_utils-0.8.2.tar.gz", hash = "sha256:d3cebf68a38ba3fba23a873809155562571386d4c1b03e5b4c4cc26c3eee93e4"},
 ]
 
 [package.dependencies]
@@ -713,25 +668,29 @@ pylint = ">=1.7"
 
 [[package]]
 name = "pywin32"
-version = "306"
+version = "308"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
 files = [
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 [[package]]
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 description = "Python tool to find and list requirements of a Python project"
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 semver = ">=3.0.0,<4.0.0"
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 [[package]]
 name = "semver"
@@ -861,13 +819,13 @@ yaml = ["pyyaml"]
 
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+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
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-test = ["websockets"]
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-    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
-    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
-]
-
 [metadata]
 lock-version = "2.0"
 python-versions = "3.11.*"
-content-hash = "a3df292908ec5b3a01ff31a4b5c85d2806c9dee3f31f9c04f9051f0ad9983a1b"
+content-hash = "2e10a3f7bd470e40fc124b2f597d14e35aa0bbee61b3382c243fe7d8b3897e30"
diff --git a/log_viewer/pyproject.toml b/log_viewer/pyproject.toml
index 71e4cf662..ca0e2e108 100644
--- a/log_viewer/pyproject.toml
+++ b/log_viewer/pyproject.toml
@@ -9,7 +9,7 @@ license = "MIT"
 python = "3.11.*"
 fastapi = "^0.109.1"
 uvicorn = "^0.23.0"
-docker = "^6.1.3"
+docker = "^7.1.0"
 mypy = "1.11.1"
 
 [tool.poetry.group.dev.dependencies]
diff --git a/modules/text/module_text_llm/module_text_llm/__init__.py b/modules/text/module_text_llm/module_text_llm/__init__.py
index 31c8c578b..9319f4779 100644
--- a/modules/text/module_text_llm/module_text_llm/__init__.py
+++ b/modules/text/module_text_llm/module_text_llm/__init__.py
@@ -1,3 +1,7 @@
 import dotenv
+from athena.approach_discovery.strategy_factory import SuggestionStrategyFactory
 
 dotenv.load_dotenv(override=True)
+
+def get_strategy_factory(base_class):
+    return SuggestionStrategyFactory("module_text_llm", base_class)
diff --git a/modules/text/module_text_llm/module_text_llm/__main__.py b/modules/text/module_text_llm/module_text_llm/__main__.py
index d4e2b05dc..0bfc6e41d 100644
--- a/modules/text/module_text_llm/module_text_llm/__main__.py
+++ b/modules/text/module_text_llm/module_text_llm/__main__.py
@@ -29,9 +29,9 @@ def process_incoming_feedback(exercise: Exercise, submission: Submission, feedba
 
 @feedback_provider
 async def suggest_feedback(exercise: Exercise, submission: Submission, is_graded: bool, module_config: Configuration) -> List[Feedback]:
-    logger.info("suggest_feedback: %s suggestions for submission %d of exercise %d were requested",
-                "Graded" if is_graded else "Non-graded", submission.id, exercise.id)
-    return await generate_suggestions(exercise, submission, module_config.approach, module_config.debug)
+    logger.info("suggest_feedback: %s suggestions for submission %d of exercise %d were requested, with approach: %s",
+                "Graded" if is_graded else "Non-graded", submission.id, exercise.id, module_config.approach.__class__.__name__)
+    return await generate_suggestions(exercise, submission, module_config.approach, module_config.debug, is_graded)
 
 
 @evaluation_provider
diff --git a/modules/text/module_text_llm/module_text_llm/approach_config.py b/modules/text/module_text_llm/module_text_llm/approach_config.py
index 6626fdd85..71aab1ab8 100644
--- a/modules/text/module_text_llm/module_text_llm/approach_config.py
+++ b/modules/text/module_text_llm/module_text_llm/approach_config.py
@@ -1,16 +1,17 @@
-from abc import ABC
 from pydantic import BaseModel, Field
 from llm_core.models import ModelConfigType, DefaultModelConfig
-from enum import Enum
-
-class ApproachType(str, Enum):
-    basic = "BasicApproach"
-    chain_of_thought = "ChainOfThought"
+from abc import ABC, abstractmethod
+from athena.text import Exercise, Submission
     
 class ApproachConfig(BaseModel, ABC):
     max_input_tokens: int = Field(default=3000, description="Maximum number of tokens in the input prompt.")
     model: ModelConfigType = Field(default=DefaultModelConfig())
     type: str = Field(..., description="The type of approach config")
 
+    @abstractmethod
+    async def generate_suggestions(self, exercise: Exercise, submission: Submission, config, *, debug: bool, is_graded: bool):
+        pass
+    
     class Config:
-        use_enum_values = True
\ No newline at end of file
+        use_enum_values = True
+        
\ No newline at end of file
diff --git a/modules/text/module_text_llm/module_text_llm/approach_controller.py b/modules/text/module_text_llm/module_text_llm/approach_controller.py
index 69a5cc69c..c97fbd81a 100644
--- a/modules/text/module_text_llm/module_text_llm/approach_controller.py
+++ b/modules/text/module_text_llm/module_text_llm/approach_controller.py
@@ -1,15 +1,9 @@
 from typing import List
 from athena.text import Exercise, Submission, Feedback
-from module_text_llm.basic_approach import BasicApproachConfig
-from module_text_llm.chain_of_thought_approach import ChainOfThoughtConfig
 from module_text_llm.approach_config import ApproachConfig
+from module_text_llm import get_strategy_factory 
 
-from module_text_llm.basic_approach.generate_suggestions import generate_suggestions as generate_suggestions_basic
-from module_text_llm.chain_of_thought_approach.generate_suggestions import generate_suggestions as generate_cot_suggestions
-
-async def generate_suggestions(exercise: Exercise, submission: Submission, config: ApproachConfig, debug: bool) -> List[Feedback]:
-    if isinstance(config, BasicApproachConfig):
-        return await generate_suggestions_basic(exercise, submission, config, debug)
-    if isinstance(config, ChainOfThoughtConfig):
-        return await generate_cot_suggestions(exercise, submission, config, debug)
-    raise ValueError("Unsupported config type provided.")
+async def generate_suggestions(exercise: Exercise, submission: Submission, config: ApproachConfig, debug: bool, is_graded: bool) -> List[Feedback]:
+    strategy_factory = get_strategy_factory(ApproachConfig)
+    strategy = strategy_factory.get_strategy(config)
+    return await strategy.generate_suggestions(exercise, submission, config, debug = debug, is_graded = is_graded)
diff --git a/modules/text/module_text_llm/module_text_llm/basic_approach/__init__.py b/modules/text/module_text_llm/module_text_llm/basic_approach/__init__.py
index cc8c8e56e..0c9e83114 100644
--- a/modules/text/module_text_llm/module_text_llm/basic_approach/__init__.py
+++ b/modules/text/module_text_llm/module_text_llm/basic_approach/__init__.py
@@ -1,11 +1,14 @@
 from module_text_llm.approach_config import ApproachConfig
 from pydantic import Field
 from typing import Literal
-
-
+from module_text_llm.basic_approach.generate_suggestions import generate_suggestions
+from athena.text import Exercise, Submission
 from module_text_llm.basic_approach.prompt_generate_suggestions import GenerateSuggestionsPrompt
 
 class BasicApproachConfig(ApproachConfig):
     type: Literal['basic'] = 'basic'
     generate_suggestions_prompt: GenerateSuggestionsPrompt = Field(default=GenerateSuggestionsPrompt())
+    
+    async def generate_suggestions(self, exercise: Exercise, submission: Submission, config, *, debug: bool, is_graded: bool):
+        return await generate_suggestions(exercise,submission,config,debug,is_graded)
     
\ No newline at end of file
diff --git a/modules/text/module_text_llm/module_text_llm/basic_approach/generate_suggestions.py b/modules/text/module_text_llm/module_text_llm/basic_approach/generate_suggestions.py
index 6cdf5b369..b5b4180d2 100644
--- a/modules/text/module_text_llm/module_text_llm/basic_approach/generate_suggestions.py
+++ b/modules/text/module_text_llm/module_text_llm/basic_approach/generate_suggestions.py
@@ -1,4 +1,5 @@
 from typing import List
+from module_text_llm.approach_config import ApproachConfig
 
 from athena import emit_meta
 from athena.text import Exercise, Submission, Feedback
@@ -10,11 +11,11 @@
 )
 from llm_core.utils.predict_and_parse import predict_and_parse
 
-from module_text_llm.config import BasicApproachConfig
+# from module_text_llm.config import BasicApproachConfig
 from module_text_llm.helpers.utils import add_sentence_numbers, get_index_range_from_line_range, format_grading_instructions
 from module_text_llm.basic_approach.prompt_generate_suggestions import AssessmentModel
 
-async def generate_suggestions(exercise: Exercise, submission: Submission, config: BasicApproachConfig, debug: bool) -> List[Feedback]:
+async def generate_suggestions(exercise: Exercise, submission: Submission, config: ApproachConfig, debug: bool, is_graded: bool) -> List[Feedback]:
     model = config.model.get_model()  # type: ignore[attr-defined]
     prompt_input = {
         "max_points": exercise.max_points,
@@ -89,6 +90,7 @@ async def generate_suggestions(exercise: Exercise, submission: Submission, confi
             index_start=index_start,
             index_end=index_end,
             credits=feedback.credits,
+            is_graded=is_graded,
             structured_grading_instruction_id=grading_instruction_id,
             meta={}
         ))
diff --git a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/__init__.py b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/__init__.py
index f125091b5..46ff2ae59 100644
--- a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/__init__.py
+++ b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/__init__.py
@@ -1,14 +1,17 @@
-from pydantic import BaseModel, Field
+from pydantic import Field
 from typing import Literal
-from llm_core.models import ModelConfigType, DefaultModelConfig
+from athena.text import Exercise, Submission
 
 from module_text_llm.approach_config import ApproachConfig
 from module_text_llm.chain_of_thought_approach.prompt_generate_feedback import CoTGenerateSuggestionsPrompt
 from module_text_llm.chain_of_thought_approach.prompt_thinking import ThinkingPrompt
+from module_text_llm.chain_of_thought_approach.generate_suggestions import generate_suggestions
 
 class ChainOfThoughtConfig(ApproachConfig):
     type: Literal['chain_of_thought'] = 'chain_of_thought'
-    model: ModelConfigType = Field(default=DefaultModelConfig)  # type: ignore
-    thikning_prompt: ThinkingPrompt = Field(default=ThinkingPrompt())
+    thinking_prompt: ThinkingPrompt = Field(default=ThinkingPrompt())
     generate_suggestions_prompt: CoTGenerateSuggestionsPrompt = Field(default=CoTGenerateSuggestionsPrompt())
+    
+    async def generate_suggestions(self, exercise: Exercise, submission: Submission, config, *, debug: bool, is_graded: bool):
+        return await generate_suggestions(exercise,submission,config,debug,is_graded)
     
\ No newline at end of file
diff --git a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/generate_suggestions.py b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/generate_suggestions.py
index 6b86dc978..e54462593 100644
--- a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/generate_suggestions.py
+++ b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/generate_suggestions.py
@@ -1,11 +1,9 @@
-from typing import List, Optional
-from pydantic import BaseModel, Field
-
+from typing import List
 from athena import emit_meta
 from athena.text import Exercise, Submission, Feedback
 from athena.logger import logger
 
-from module_text_llm.chain_of_thought_approach import ChainOfThoughtConfig
+from module_text_llm.approach_config import ApproachConfig
 
 from llm_core.utils.llm_utils import (
     get_chat_prompt_with_formatting_instructions, 
@@ -19,7 +17,7 @@
 from module_text_llm.chain_of_thought_approach.prompt_generate_feedback import AssessmentModel
 
 
-async def generate_suggestions(exercise: Exercise, submission: Submission, config: ChainOfThoughtConfig, debug: bool) -> List[Feedback]:
+async def generate_suggestions(exercise: Exercise, submission: Submission, config: ApproachConfig, debug: bool, is_graded: bool) -> List[Feedback]:
     model = config.model.get_model()  # type: ignore[attr-defined]
 
     prompt_input = {
@@ -33,13 +31,11 @@ async def generate_suggestions(exercise: Exercise, submission: Submission, confi
 
     chat_prompt = get_chat_prompt_with_formatting_instructions(
         model=model, 
-        system_message=config.thikning_prompt.system_message, 
-        human_message=config.thikning_prompt.human_message, 
+        system_message=config.thinking_prompt.system_message, 
+        human_message=config.thinking_prompt.human_message, 
         pydantic_object=InitialAssessmentModel
     )
     
-
-
     # Check if the prompt is too long and omit features if necessary (in order of importance)
     omittable_features = ["example_solution", "problem_statement", "grading_instructions"]
     prompt_input, should_run = check_prompt_length_and_omit_features_if_necessary(
@@ -122,8 +118,9 @@ async def generate_suggestions(exercise: Exercise, submission: Submission, confi
             index_start=index_start,
             index_end=index_end,
             credits=feedback.credits,
+            is_graded=is_graded,
             structured_grading_instruction_id=grading_instruction_id,
             meta={}
         ))
 
-    return feedbacks
\ No newline at end of file
+    return feedbacks
diff --git a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_generate_feedback.py b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_generate_feedback.py
index 9065ad67f..a999d3482 100644
--- a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_generate_feedback.py
+++ b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_generate_feedback.py
@@ -3,15 +3,17 @@
 
 system_message = """
          You gave the following feedback on the first iteration: {answer}
-         On this step you need to refine your feedback.
+         On this step you need to refine your feedback. You will recieve the student submission once more.
          Make sure to follow the following steps to assess and improve your feedback:
-         It shuold follow the grading instructions and the sample solution, if it doesn't, consider improvements.
-         If you have your own additional improvements that are not present in the grading instructions, add them in a new feedback with 0 credits and no reference.
-         Remember that your response is directly seen by students and it should adress them directly.
-         For each feedback where the student has room for improvement, think about how the student could improve his solution.
-         Once you have thought how the student can improve the solution, formulate it in a way that guides the student towards the correct solution without revealing it directly.
-         Consider improvements to the feedback if any of this points is not satisfied.
-         
+         - Credits given or deducted should be consistent and tracable to the grading instructions and the sample solution, if it doesn't, consider improvements.
+         - If you have your own additional improvements that are not present in the grading instructions, add them in a new feedback with 0 credits and no reference.
+         - Remember that your response is directly seen by students and it should adress them directly.
+         - For each feedback where the student has room for improvement, think about how the student could improve his solution.
+         - Once you have thought how the student can improve the solution, formulate it in a way that guides the student towards the correct solution without revealing it directly.
+         - References should not overlap, that means that no two feedback must have overlaping line_start and line_end.
+         - If the feedback is general and not related to a specific line, leave line_start and line_end empty.
+         - Consider improvements to the feedback if any of this points is not satisfied.
+         You will be provided once again with the student submission.
          Respond in json
 
          """
@@ -52,4 +54,5 @@ class FeedbackModel(BaseModel):
 class AssessmentModel(BaseModel):
     """Collection of feedbacks making up an assessment"""
     
-    feedbacks: List[FeedbackModel] = Field(description="Assessment feedbacks")
\ No newline at end of file
+    feedbacks: List[FeedbackModel] = Field(description="Assessment feedbacks")
+    
\ No newline at end of file
diff --git a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_thinking.py b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_thinking.py
index 6f72b2b10..0ac0af265 100644
--- a/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_thinking.py
+++ b/modules/text/module_text_llm/module_text_llm/chain_of_thought_approach/prompt_thinking.py
@@ -4,16 +4,16 @@
 system_message = """
 You are a grading assistant at a prestrigious university tasked with grading student submissions for text exercises.
 You goal is to be as helpful as possible to the student while providing constructive feedback without revealing the solution.
-In order to successfully complete this task, you must:
-1. Analyze the problem statement and the provided grading instructions to understand the requirements of the task.
-2. The problem solution is an example of a solution that meets the requirements of the task. Analyze the solution to understand the logic and the approach used to solve the problem, keeping in mind that the student solutions might diverge and still be correct.
-3. Analyze the student's submission in regards to the problem statement, so that you can create chunks of the solution that relate to a part of the problem statement.
-4. Use the information gathered from the previous steps to provide constructive feedback to the student, guiding them towards the correct solution without revealing it.
-5. If you have additional comments, create an unreferenced feedback.
-6. For each feedback make sure that the credits are given only on the basis of the grading instructions and soltuion, the minimal answer from a student that satisfies this should be given the credits. If you have notes or additional comments, make sure to include them in a new feedback with 0 credits and no reference.
+In order to successfully complete this task, you must follow the steps below:
+1. Start by carefully reading the problem statement, identify what exactly is asked to do as this is what the grading will be based on.
+2. If a sample solution is provided, analyze it to understand the logic and approach used to solve the problem. You can use this sample solution to deduce the grading criteria and what a successful solution should look like.
+3. Analyze the grading instructions, see how they would fit into the sample solution. Imagine what kind of answers would recieve full points or half points or no points.
+4. Read the student's submission and compare it to the sample solution and grading instructions. Grade the submission, while prioritizing the grading instructions.
+5. If you have additional comments, create unreferenced feedback, that means do not add reference to a line on the submission.
+6. Detail what the student could have done better, either to recieve full credit or to improve their understanding of the problem. Do not give away the solution to the student.
 
 You are tasked with grading the following exercise, your response should take into account that you are directly responding to the student so you should adress the student:
-The maximal amount of points for this exercise is {max_points}.
+The maximal amount of points for this exercise is {max_points}. The total credits may not exceed {max_points} points.
 # Problem Statement
 {problem_statement}
 # Sample Solution
@@ -51,9 +51,13 @@ class InitialAssessment(BaseModel):
     line_end: Optional[int] = Field(description="Referenced line number end, or empty if unreferenced")
     credits: float = Field(0.0, description="Number of points received/deducted")
     reasoning: str = Field(description="Reasoning why the feedback was given")
-    impprovment_suggestion: str = Field(description="Suggestion for improvement for the student")
+    improvment_suggestion: str = Field(description="Suggestion for improvement for the student")
+    grading_instruction_id: Optional[int] = Field(
+        description="ID of the grading instruction that was used to generate this feedback, or empty if no grading instruction was used"
+    )
 
 class InitialAssessmentModel(BaseModel):
     """Collection of feedbacks making up an assessment"""
     
-    feedbacks: List[InitialAssessment] = Field(description="Assessment feedbacks")
\ No newline at end of file
+    feedbacks: List[InitialAssessment] = Field(description="Assessment feedbacks")
+    
\ No newline at end of file
diff --git a/modules/text/module_text_llm/module_text_llm/create_approach_script.py b/modules/text/module_text_llm/module_text_llm/create_approach_script.py
new file mode 100644
index 000000000..82a0bb7ca
--- /dev/null
+++ b/modules/text/module_text_llm/module_text_llm/create_approach_script.py
@@ -0,0 +1,163 @@
+"""
+This script creates a new approach inside the module_text_llm package.
+
+Run with: python create_approach_script.py <approach_name>
+
+It creates the __init__.py, prompt_generate_suggestions.py, and generate_suggestions.py files for the new approach.
+
+It also imports the new approach into the config.py and adds the new approach to the ApproachConfigUnion.
+"""
+import re
+import argparse
+from pathlib import Path
+
+def to_camel_case(snake_str: str) -> str:
+    components = snake_str.split('_')
+    return ''.join(x.title() for x in components)
+
+
+def create_approach_directory(approach_name: str) -> Path:
+    base_dir = Path(__file__).parent / approach_name
+    base_dir.mkdir(parents=True, exist_ok=True)
+    return base_dir
+
+
+def create_init_py(base_dir: Path, approach_name: str) -> None:
+    init_content = f"""
+from module_text_llm.approach_config import ApproachConfig
+from pydantic import Field
+from typing import Literal
+from athena.text import Exercise, Submission
+from module_text_llm.{approach_name}.generate_suggestions import generate_suggestions
+from module_text_llm.{approach_name}.prompt_generate_suggestions import GenerateSuggestionsPrompt
+
+class {to_camel_case(approach_name)}Config(ApproachConfig):
+    type: Literal['{approach_name.lower()}'] = '{approach_name.lower()}'
+    generate_suggestions_prompt: GenerateSuggestionsPrompt = Field(default=GenerateSuggestionsPrompt())
+    
+    async def generate_suggestions(self, exercise: Exercise, submission: Submission, config,*, debug: bool, is_graded: bool):
+        return await generate_suggestions(exercise, submission, config, debug, is_graded)
+"""
+    with open(base_dir / "__init__.py", "w", encoding="utf-8") as f:
+        f.write(init_content.strip())
+
+
+def create_prompt_py(base_dir: Path) -> None:
+    prompt_content = '''
+from pydantic import Field, BaseModel
+from typing import List, Optional
+
+system_message = """\
+You are an AI tutor for text assessment at a prestigious university.
+
+# Task
+Create graded feedback suggestions for a student's text submission that a human tutor would accept. \
+Meaning, the feedback you provide should be applicable to the submission with little to no modification.
+
+# Style
+1. Constructive, 2. Specific, 3. Balanced, 4. Clear and Concise, 5. Actionable, 6. Educational, 7. Contextual
+
+# Problem statement
+{problem_statement}
+
+# Example solution
+{example_solution}
+
+# Grading instructions
+{grading_instructions}
+Max points: {max_points}, bonus points: {bonus_points}
+    
+Respond in json.
+"""
+
+human_message = """\
+Student's submission to grade (with sentence numbers <number>: <sentence>):
+
+{submission}
+"""
+
+# Input Prompt
+class GenerateSuggestionsPrompt(BaseModel):
+    """\
+Features available: **{problem_statement}**, **{example_solution}**, **{grading_instructions}**, **{max_points}**, **{bonus_points}**, **{submission}**
+
+_Note: **{problem_statement}**, **{example_solution}**, or **{grading_instructions}** might be omitted if the input is too long._\
+"""
+    system_message: str = Field(default=system_message,
+                                description="Message for priming AI behavior and instructing it what to do.")
+    human_message: str = Field(default=human_message,
+                               description="Message from a human. The input on which the AI is supposed to act.")
+
+# Output Object
+class FeedbackModel(BaseModel):
+    title: str = Field(description="Very short title, i.e. feedback category or similar", example="Logic Error")
+    description: str = Field(description="Feedback description")
+    line_start: Optional[int] = Field(description="Referenced line number start, or empty if unreferenced")
+    line_end: Optional[int] = Field(description="Referenced line number end, or empty if unreferenced")
+    credits: float = Field(0.0, description="Number of points received/deducted")
+    grading_instruction_id: Optional[int] = Field(
+        description="ID of the grading instruction that was used to generate this feedback, or empty if no grading instruction was used"
+    )
+
+class AssessmentModel(BaseModel):
+    """Collection of feedbacks making up an assessment"""
+    feedbacks: List[FeedbackModel] = Field(description="Assessment feedbacks")
+'''
+    with open(base_dir / "prompt_generate_suggestions.py", "w", encoding="utf-8") as f:
+        f.write(prompt_content.strip())
+
+
+def create_generate_suggestions_py(base_dir: Path) -> None:
+    generate_suggestions_content = """
+from typing import List
+from athena import emit_meta
+from athena.text import Exercise, Submission, Feedback
+from athena.logger import logger
+
+from module_text_llm.approach_config import ApproachConfig
+# Placeholder for generate suggestions logic.
+def generate_suggestions(exercise: Exercise, submission: Submission, config: ApproachConfig, debug: bool, is_graded: bool):
+    pass
+"""
+    with open(base_dir / "generate_suggestions.py", "w", encoding="utf-8") as f:
+        f.write(generate_suggestions_content.strip())
+
+
+def update_config_py(approach_name: str) -> None:
+    config_path = Path(__file__).parent / "config.py"
+    camel_case_name = to_camel_case(approach_name)
+    config_import = f"from module_text_llm.{approach_name.lower()} import {camel_case_name}Config"
+
+    with open(config_path, "r+", encoding="utf-8") as f:
+        content = f.read()
+
+        # Add import
+        if config_import not in content:
+            content = f"{config_import}\n{content}"
+
+        # Update Union
+        union_pattern = r"ApproachConfigUnion = Union\[(.*?)\]"
+        match = re.search(union_pattern, content, re.DOTALL)
+        if match:
+            updated_union = f"{match.group(1).strip()}, {camel_case_name}Config".replace(" ,", ",")
+            content = re.sub(union_pattern, f"ApproachConfigUnion = Union[{updated_union}]", content)
+
+        f.seek(0)
+        f.write(content)
+        f.truncate()
+
+
+def create_approach(approach_name: str) -> None:
+    base_dir = create_approach_directory(approach_name)
+    create_init_py(base_dir, approach_name)
+    create_prompt_py(base_dir)
+    create_generate_suggestions_py(base_dir)
+    update_config_py(approach_name)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Create a new approach for the Athena project.")
+    parser.add_argument("approach_name", help="The name of the new approach (in snake_case).")
+    args = parser.parse_args()
+    
+    create_approach(args.approach_name)
diff --git a/modules/text/module_text_llm/poetry.lock b/modules/text/module_text_llm/poetry.lock
index f09c63c21..9f12b92d3 100644
--- a/modules/text/module_text_llm/poetry.lock
+++ b/modules/text/module_text_llm/poetry.lock
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 [package.dependencies]
@@ -110,13 +110,13 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -145,13 +145,13 @@ trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "astroid"
-version = "3.3.6"
+version = "3.3.8"
 description = "An abstract syntax tree for Python with inference support."
 optional = false
 python-versions = ">=3.9.0"
 files = [
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 ]
 
 [[package]]
@@ -177,157 +177,144 @@ url = "../../../athena"
 
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 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
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+python-versions = ">=3.8"
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 [package.extras]
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 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
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+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
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 [package.dependencies]
@@ -748,86 +735,87 @@ colors = ["colorama (>=0.4.6)"]
 
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 [[package]]
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 [[package]]
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 [package.dependencies]
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+typing_extensions = ">=4.6.0"
 
 [package.extras]
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@@ -1298,86 +1292,86 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -1668,17 +1662,17 @@ files = [
 
 [[package]]
 name = "pylint"
-version = "3.3.2"
+version = "3.3.3"
 description = "python code static checker"
 optional = false
 python-versions = ">=3.9.0"
 files = [
-    {file = "pylint-3.3.2-py3-none-any.whl", hash = "sha256:77f068c287d49b8683cd7c6e624243c74f92890f767f106ffa1ddf3c0a54cb7a"},
-    {file = "pylint-3.3.2.tar.gz", hash = "sha256:9ec054ec992cd05ad30a6df1676229739a73f8feeabf3912c995d17601052b01"},
+    {file = "pylint-3.3.3-py3-none-any.whl", hash = "sha256:26e271a2bc8bce0fc23833805a9076dd9b4d5194e2a02164942cb3cdc37b4183"},
+    {file = "pylint-3.3.3.tar.gz", hash = "sha256:07c607523b17e6d16e2ae0d7ef59602e332caa762af64203c24b41c27139f36a"},
 ]
 
 [package.dependencies]
-astroid = ">=3.3.5,<=3.4.0-dev0"
+astroid = ">=3.3.8,<=3.4.0-dev0"
 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = {version = ">=0.3.6", markers = "python_version >= \"3.11\""}
 isort = ">=4.2.5,<5.13.0 || >5.13.0,<6"
@@ -2303,13 +2297,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
diff --git a/playground/package-lock.json b/playground/package-lock.json
index 2cf287f0f..320c2508a 100644
--- a/playground/package-lock.json
+++ b/playground/package-lock.json
@@ -25,7 +25,7 @@
         "formidable": "^3.5.1",
         "jszip": "3.10.1",
         "monaco-editor": "0.44.0",
-        "next": "14.2.10",
+        "next": "14.2.21",
         "react": "18.2.0",
         "react-complex-tree": "2.2.2",
         "react-complex-tree-blueprintjs-renderers": "2.2.2",
@@ -948,9 +948,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/env/-/env-14.2.10.tgz",
-      "integrity": "sha512-dZIu93Bf5LUtluBXIv4woQw2cZVZ2DJTjax5/5DOs3lzEOeKLy7GxRSr4caK9/SCPdaW6bCgpye6+n4Dh9oJPw=="
+      "version": "14.2.21",
+      "resolved": "https://registry.npmjs.org/@next/env/-/env-14.2.21.tgz",
+      "integrity": "sha512-lXcwcJd5oR01tggjWJ6SrNNYFGuOOMB9c251wUNkjCpkoXOPkDeF/15c3mnVlBqrW4JJXb2kVxDFhC4GduJt2A=="
     },
     "node_modules/@next/eslint-plugin-next": {
       "version": "13.5.6",
@@ -982,9 +982,9 @@
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     },
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-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-14.2.10.tgz",
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+      "version": "14.2.21",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-14.2.21.tgz",
+      "integrity": "sha512-HwEjcKsXtvszXz5q5Z7wCtrHeTTDSTgAbocz45PHMUjU3fBYInfvhR+ZhavDRUYLonm53aHZbB09QtJVJj8T7g==",
       "cpu": [
         "arm64"
       ],
@@ -997,9 +997,9 @@
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     },
     "node_modules/@next/swc-darwin-x64": {
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-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-14.2.10.tgz",
-      "integrity": "sha512-Y0TC+FXbFUQ2MQgimJ/7Ina2mXIKhE7F+GUe1SgnzRmwFY3hX2z8nyVCxE82I2RicspdkZnSWMn4oTjIKz4uzA==",
+      "version": "14.2.21",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-14.2.21.tgz",
+      "integrity": "sha512-TSAA2ROgNzm4FhKbTbyJOBrsREOMVdDIltZ6aZiKvCi/v0UwFmwigBGeqXDA97TFMpR3LNNpw52CbVelkoQBxA==",
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         "x64"
       ],
@@ -1012,9 +1012,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-14.2.10.tgz",
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+      "version": "14.2.21",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-14.2.21.tgz",
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       "cpu": [
         "arm64"
       ],
@@ -1027,9 +1027,9 @@
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     },
     "node_modules/@next/swc-linux-arm64-musl": {
-      "version": "14.2.10",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-14.2.10.tgz",
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+      "version": "14.2.21",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-14.2.21.tgz",
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       ],
@@ -1042,9 +1042,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-14.2.10.tgz",
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+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-14.2.21.tgz",
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@@ -1057,9 +1057,9 @@
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@@ -1072,9 +1072,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-14.2.10.tgz",
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+      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-14.2.21.tgz",
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@@ -1087,9 +1087,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-14.2.10.tgz",
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+      "resolved": "https://registry.npmjs.org/@next/swc-win32-ia32-msvc/-/swc-win32-ia32-msvc-14.2.21.tgz",
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@@ -1102,9 +1102,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-14.2.10.tgz",
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+      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-14.2.21.tgz",
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@@ -5974,9 +5974,9 @@
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-      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz",
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+      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.8.tgz",
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       "funding": [
         {
           "type": "github",
@@ -5997,11 +5997,11 @@
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-      "version": "14.2.10",
-      "resolved": "https://registry.npmjs.org/next/-/next-14.2.10.tgz",
-      "integrity": "sha512-sDDExXnh33cY3RkS9JuFEKaS4HmlWmDKP1VJioucCG6z5KuA008DPsDZOzi8UfqEk3Ii+2NCQSJrfbEWtZZfww==",
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+      "resolved": "https://registry.npmjs.org/next/-/next-14.2.21.tgz",
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       "dependencies": {
-        "@next/env": "14.2.10",
+        "@next/env": "14.2.21",
         "@swc/helpers": "0.5.5",
         "busboy": "1.6.0",
         "caniuse-lite": "^1.0.30001579",
@@ -6016,15 +6016,15 @@
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       },
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-        "@next/swc-darwin-arm64": "14.2.10",
-        "@next/swc-darwin-x64": "14.2.10",
-        "@next/swc-linux-arm64-gnu": "14.2.10",
-        "@next/swc-linux-arm64-musl": "14.2.10",
-        "@next/swc-linux-x64-gnu": "14.2.10",
-        "@next/swc-linux-x64-musl": "14.2.10",
-        "@next/swc-win32-arm64-msvc": "14.2.10",
-        "@next/swc-win32-ia32-msvc": "14.2.10",
-        "@next/swc-win32-x64-msvc": "14.2.10"
+        "@next/swc-darwin-arm64": "14.2.21",
+        "@next/swc-darwin-x64": "14.2.21",
+        "@next/swc-linux-arm64-gnu": "14.2.21",
+        "@next/swc-linux-arm64-musl": "14.2.21",
+        "@next/swc-linux-x64-gnu": "14.2.21",
+        "@next/swc-linux-x64-musl": "14.2.21",
+        "@next/swc-win32-arm64-msvc": "14.2.21",
+        "@next/swc-win32-ia32-msvc": "14.2.21",
+        "@next/swc-win32-x64-msvc": "14.2.21"
       },
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diff --git a/playground/package.json b/playground/package.json
index 0aa7ec51c..562618a57 100644
--- a/playground/package.json
+++ b/playground/package.json
@@ -30,7 +30,7 @@
     "formidable": "^3.5.1",
     "jszip": "3.10.1",
     "monaco-editor": "0.44.0",
-    "next": "14.2.10",
+    "next": "14.2.21",
     "react": "18.2.0",
     "react-complex-tree": "2.2.2",
     "react-complex-tree-blueprintjs-renderers": "2.2.2",