diff --git a/.template-flask-version b/.template-flask-version
index eac2082..b26f8ae 100644
--- a/.template-flask-version
+++ b/.template-flask-version
@@ -1 +1 @@
-dded29ce1ae0d3b9cd067a971850a290da29e0c2
+6775182b406da2e0889ae5eeff05eb4264b73727
diff --git a/app/.python-version b/app/.python-version
index fdcfcfd..24ee5b1 100644
--- a/app/.python-version
+++ b/app/.python-version
@@ -1 +1 @@
-3.12
\ No newline at end of file
+3.13
diff --git a/app/Dockerfile b/app/Dockerfile
index fd017c5..bb2a8d1 100644
--- a/app/Dockerfile
+++ b/app/Dockerfile
@@ -4,7 +4,9 @@
 # The build stage that will be used to deploy to the various environments
 # needs to be called `release` in order to integrate with the repo's
 # top-level Makefile
-FROM python:3-slim AS base
+FROM python:3.13-slim AS base
+# See /docs/app/README.md#Upgrading Python
+# for details on upgrading your Python version
 
 # Install poetry, the package manager.
 # https://python-poetry.org
diff --git a/app/gunicorn.conf.py b/app/gunicorn.conf.py
index f301cd3..38cfde3 100644
--- a/app/gunicorn.conf.py
+++ b/app/gunicorn.conf.py
@@ -15,11 +15,11 @@
 
 app_config = AppConfig()
 
-bind = app_config.host + ":" + str(app_config.port)
+bind = app_config.host + ':' + str(app_config.port)
 # Calculates the number of usable cores and doubles it. Recommended number of workers per core is two.
 # https://docs.gunicorn.org/en/latest/design.html#how-many-workers
 # We use 'os.sched_getaffinity(pid)' not 'os.cpu_count()' because it returns only allowable CPUs.
 # os.sched_getaffinity(pid): Return the set of CPUs the process with PID pid is restricted to.
 # os.cpu_count(): Return the number of CPUs in the system.
-workers = 1
-threads = 2
+workers = len(os.sched_getaffinity(0)) * 2
+threads = 4
diff --git a/app/poetry.lock b/app/poetry.lock
index c5b0b70..3bacf13 100644
--- a/app/poetry.lock
+++ b/app/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "alembic"
-version = "1.13.1"
+version = "1.14.0"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
-    {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
+    {file = "alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25"},
+    {file = "alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b"},
 ]
 
 [package.dependencies]
@@ -32,13 +32,13 @@ files = [
 
 [[package]]
 name = "apiflask"
-version = "2.1.1"
+version = "2.2.1"
 description = "A lightweight web API framework based on Flask and marshmallow-code projects."
 optional = false
-python-versions = ">=3.8"
+python-versions = "*"
 files = [
-    {file = "APIFlask-2.1.1-py3-none-any.whl", hash = "sha256:8586c1f845f6b17f948ecbc6ea26837532cc32953379553c4a78bf9498b2c082"},
-    {file = "APIFlask-2.1.1.tar.gz", hash = "sha256:88db5a539cc155e35d9636d99b434d00ca6c0b23e7c87c8321ec9dc980535366"},
+    {file = "APIFlask-2.2.1-py3-none-any.whl", hash = "sha256:31619542dae6c7b86ca0cd0b1277ccaad68e99b69dfef201791b814432d26965"},
+    {file = "apiflask-2.2.1.tar.gz", hash = "sha256:9c7573fedbb75524396c5733d4b0c150d1839a5d52b905c15b6a36e030c44908"},
 ]
 
 [package.dependencies]
@@ -56,34 +56,34 @@ yaml = ["pyyaml"]
 
 [[package]]
 name = "apispec"
-version = "6.6.1"
+version = "6.7.1"
 description = "A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "apispec-6.6.1-py3-none-any.whl", hash = "sha256:6460315cb38ac6a2ff42d9e2b8dc0435c37d4428d3abeda96ff97b5dc8eb6b94"},
-    {file = "apispec-6.6.1.tar.gz", hash = "sha256:f5caa47cee75fe03b9c50b5594048b4c052eeca2c212e0dac12dbb6175d9a659"},
+    {file = "apispec-6.7.1-py3-none-any.whl", hash = "sha256:d99e7a564f3871327c17b3e43726cc1e6ade2c97aa05706644a48818fc37999e"},
+    {file = "apispec-6.7.1.tar.gz", hash = "sha256:c01b8b6ff40ffedf55b79a67f9dd920e9b2fc3909aae116facf6c8372a08b933"},
 ]
 
 [package.dependencies]
 packaging = ">=21.3"
 
 [package.extras]
-dev = ["apispec[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["apispec[marshmallow]", "pyyaml (==6.0.1)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-rtd-theme (==2.0.0)"]
+dev = ["apispec[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
+docs = ["apispec[marshmallow]", "pyyaml (==6.0.2)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-rtd-theme (==3.0.1)"]
 marshmallow = ["marshmallow (>=3.18.0)"]
 tests = ["apispec[marshmallow,yaml]", "openapi-spec-validator (==0.7.1)", "pytest"]
 yaml = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "bandit"
-version = "1.7.9"
+version = "1.7.10"
 description = "Security oriented static analyser for python code."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "bandit-1.7.9-py3-none-any.whl", hash = "sha256:52077cb339000f337fb25f7e045995c4ad01511e716e5daac37014b9752de8ec"},
-    {file = "bandit-1.7.9.tar.gz", hash = "sha256:7c395a436743018f7be0a4cbb0a4ea9b902b6d87264ddecf8cfdc73b4f78ff61"},
+    {file = "bandit-1.7.10-py3-none-any.whl", hash = "sha256:665721d7bebbb4485a339c55161ac0eedde27d51e638000d91c8c2d68343ad02"},
+    {file = "bandit-1.7.10.tar.gz", hash = "sha256:59ed5caf5d92b6ada4bf65bc6437feea4a9da1093384445fed4d472acc6cff7b"},
 ]
 
 [package.dependencies]
@@ -145,28 +145,28 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "blinker"
-version = "1.8.2"
+version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
-    {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
+    {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
+    {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
 ]
 
 [[package]]
 name = "boto3"
-version = "1.34.130"
+version = "1.35.67"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.130-py3-none-any.whl", hash = "sha256:c163fb7135a94e7b8c8c478a44071c843f05e212fa4bec3105f8a437ecbf1bcb"},
-    {file = "boto3-1.34.130.tar.gz", hash = "sha256:b781d267dd5e7583966e05697f6bd45e2f46c01dc619ba0860b042963ee69296"},
+    {file = "boto3-1.35.67-py3-none-any.whl", hash = "sha256:db4d8736ef9b0f1972740d464d77edbdf35cd9dcddf9291c645691920f8fa50d"},
+    {file = "boto3-1.35.67.tar.gz", hash = "sha256:4eb793c45123fbca1b2b152ce0d18272d19126cf89809cd6698bf2dfc66270fb"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.130,<1.35.0"
+botocore = ">=1.35.67,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -175,13 +175,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.130"
+version = "1.35.67"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.130-py3-none-any.whl", hash = "sha256:a3b36e9dac1ed31c4cb3a5c5e540a7d8a9b90ff1d17f87734e674154b41776d8"},
-    {file = "botocore-1.34.130.tar.gz", hash = "sha256:a242b3b0a836b14f308a309565cd63e88654cec238f9b73abbbd3c0526db4c81"},
+    {file = "botocore-1.35.67-py3-none-any.whl", hash = "sha256:c83983c196b4452dd7f298e68a9a224bc8fd58075b60133532848813826611af"},
+    {file = "botocore-1.35.67.tar.gz", hash = "sha256:d782e02f2949889cf97a140a89cd5e9363d0e4b0153db51faf7fc16305c6e0e1"},
 ]
 
 [package.dependencies]
@@ -190,78 +190,93 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.20.11)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "certifi"
-version = "2024.6.2"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
-    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
 name = "cffi"
-version = "1.16.0"
+version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -269,101 +284,116 @@ pycparser = "*"
 
 [[package]]
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 [package.extras]
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 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
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 ]
 
 [package.dependencies]
@@ -506,38 +541,42 @@ nox = ["nox"]
 pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "debugpy"
-version = "1.8.1"
+version = "1.8.9"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
@@ -552,20 +591,20 @@ files = [
 
 [[package]]
 name = "factory-boy"
-version = "3.3.0"
+version = "3.3.1"
 description = "A versatile test fixtures replacement based on thoughtbot's factory_bot for Ruby."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 Faker = ">=0.7.0"
 
 [package.extras]
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+dev = ["Django", "Pillow", "SQLAlchemy", "coverage", "flake8", "isort", "mongoengine", "mongomock", "mypy", "tox", "wheel (>=0.32.0)", "zest.releaser[recommended]"]
 doc = ["Sphinx", "sphinx-rtd-theme", "sphinxcontrib-spelling"]
 
 [[package]]
@@ -584,21 +623,21 @@ python-dateutil = ">=2.4"
 
 [[package]]
 name = "flask"
-version = "3.0.3"
+version = "3.1.0"
 description = "A simple framework for building complex web applications."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
-blinker = ">=1.6.2"
+blinker = ">=1.9"
 click = ">=8.1.3"
-itsdangerous = ">=2.1.2"
+itsdangerous = ">=2.2"
 Jinja2 = ">=3.1.2"
-Werkzeug = ">=3.0.0"
+Werkzeug = ">=3.1"
 
 [package.extras]
 async = ["asgiref (>=3.2)"]
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 sqlalchemy = ["flask-sqlalchemy (>=3.0.0)", "marshmallow-sqlalchemy (>=0.29.0)"]
 tests = ["flask-marshmallow[sqlalchemy]", "pytest"]
 
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-description = "Lightweight in-process concurrent programming"
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-python-versions = ">=3.7"
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 version = "21.2.0"
@@ -732,15 +700,18 @@ tornado = ["tornado (>=0.2)"]
 
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 name = "idna"
-version = "3.7"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
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+
 [[package]]
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 version = "2.0.0"
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+tests = ["pytest", "simplejson"]
 
 [[package]]
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-typing-inspect = ">=0.8.0,<1.0"
+marshmallow = ">=3.18.0"
+typeguard = ">=4.0,<5"
+typing-inspect = ">=0.9.0"
 
 [package.extras]
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 docs = ["sphinx"]
-enum = ["marshmallow (>=3.18.0,<4.0)", "marshmallow-enum"]
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 tests = ["pytest (>=5.4)", "pytest-mypy-plugins (>=1.2.0)"]
-union = ["typeguard (>=2.4.1,<4.0.0)"]
 
 [[package]]
 name = "mdurl"
@@ -1022,46 +989,52 @@ xray = ["aws-xray-sdk (>=0.93,!=0.96)", "setuptools"]
 
 [[package]]
 name = "mypy"
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 python-versions = ">=3.8"
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 name = "pluggy"
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 python-dotenv = ">=0.21.0"
 
 [package.extras]
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 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
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 [[package]]
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 [[package]]
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 [[package]]
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+version = "0.10.4"
 description = "An Amazon S3 Transfer Manager"
 optional = false
-python-versions = ">= 3.8"
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 ]
 
 [package.dependencies]
@@ -1694,64 +1703,71 @@ webhdfs = ["requests"]
 
 [[package]]
 name = "sqlalchemy"
-version = "2.0.31"
+version = "2.0.36"
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 mypy = {version = ">=0.910", optional = true, markers = "extra == \"mypy\""}
 typing-extensions = ">=4.6.0"
 
@@ -1761,7 +1777,7 @@ aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
 aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
 mssql-pyodbc = ["pyodbc"]
@@ -1782,32 +1798,35 @@ sqlcipher = ["sqlcipher3_binary"]
 
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-version = "5.2.0"
+version = "5.4.0"
 description = "Manage dynamic plugins for Python applications"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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+pbr = ">=2.0.0"
 
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 [package.extras]
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-test = ["mypy (>=0.991)", "pytest (>=7)"]
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+test = ["coverage[toml] (>=7)", "mypy (>=1.2.0)", "pytest (>=7)"]
 
 [[package]]
 name = "types-pytz"
@@ -1822,13 +1841,13 @@ files = [
 
 [[package]]
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 description = "Typing stubs for PyYAML"
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 ]
 
 [[package]]
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 [[package]]
 name = "tzdata"
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 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
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 python-versions = ">=3.8"
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 [package.extras]
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 [[package]]
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 optional = false
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+    {file = "watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e"},
+    {file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f"},
+    {file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26"},
+    {file = "watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c"},
+    {file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"},
+    {file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"},
+    {file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"},
+    {file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"},
+    {file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"},
 ]
 
 [package.extras]
@@ -1931,35 +1948,34 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "webargs"
-version = "8.4.0"
+version = "8.6.0"
 description = "Declarative parsing and validation of HTTP request objects, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, Falcon, and aiohttp."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "webargs-8.4.0-py3-none-any.whl", hash = "sha256:22324305fbca6a2c4cce1235280e8b56372fb3211a8dac2ac8ed1948315a6f53"},
-    {file = "webargs-8.4.0.tar.gz", hash = "sha256:ea99368214a4ce613924be99d71db58c269631e95eff4fa09b7354e52dc006a5"},
+    {file = "webargs-8.6.0-py3-none-any.whl", hash = "sha256:83da4d7105643d0a50499b06d98a6ade1a330ce66d039eaa51f715172c704aba"},
+    {file = "webargs-8.6.0.tar.gz", hash = "sha256:b8d098ab92bd74c659eca705afa31d681475f218cb15c1e57271fa2103c0547a"},
 ]
 
 [package.dependencies]
 marshmallow = ">=3.0.0"
-packaging = "*"
+packaging = ">=17.0"
 
 [package.extras]
-dev = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "flake8 (==7.0.0)", "flake8-bugbear (==23.12.2)", "mypy (==1.8.0)", "pre-commit (>=2.4,<4.0)", "pyramid (>=1.9.1)", "pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "tornado (>=4.5.2)", "tox", "webtest (==3.0.0)", "webtest-aiohttp (==2.0.0)"]
-docs = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "Sphinx (==7.2.6)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "furo (==2023.9.10)", "pyramid (>=1.9.1)", "sphinx-issues (==3.0.1)", "tornado (>=4.5.2)"]
+dev = ["pre-commit (>=3.5,<4.0)", "tox", "webargs[tests]"]
+docs = ["Sphinx (==8.0.2)", "furo (==2024.8.6)", "sphinx-issues (==4.1.0)", "webargs[frameworks]"]
 frameworks = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "pyramid (>=1.9.1)", "tornado (>=4.5.2)"]
-lint = ["flake8 (==7.0.0)", "flake8-bugbear (==23.12.2)", "mypy (==1.8.0)", "pre-commit (>=2.4,<4.0)"]
-tests = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "pyramid (>=1.9.1)", "pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "tornado (>=4.5.2)", "webtest (==3.0.0)", "webtest-aiohttp (==2.0.0)"]
+tests = ["pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "webargs[frameworks]", "webtest (==3.0.1)", "webtest-aiohttp (==2.0.0)"]
 
 [[package]]
 name = "werkzeug"
-version = "3.0.3"
+version = "3.1.3"
 description = "The comprehensive WSGI web application library."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"},
-    {file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"},
+    {file = "werkzeug-3.1.3-py3-none-any.whl", hash = "sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e"},
+    {file = "werkzeug-3.1.3.tar.gz", hash = "sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"},
 ]
 
 [package.dependencies]
@@ -1970,16 +1986,16 @@ watchdog = ["watchdog (>=2.3)"]
 
 [[package]]
 name = "xmltodict"
-version = "0.13.0"
+version = "0.14.2"
 description = "Makes working with XML feel like you are working with JSON"
 optional = false
-python-versions = ">=3.4"
+python-versions = ">=3.6"
 files = [
-    {file = "xmltodict-0.13.0-py2.py3-none-any.whl", hash = "sha256:aa89e8fd76320154a40d19a0df04a4695fb9dc5ba977cbb68ab3e4eb225e7852"},
-    {file = "xmltodict-0.13.0.tar.gz", hash = "sha256:341595a488e3e01a85a9d8911d8912fd922ede5fecc4dce437eb4b6c8d037e56"},
+    {file = "xmltodict-0.14.2-py2.py3-none-any.whl", hash = "sha256:20cc7d723ed729276e808f26fb6b3599f786cbc37e06c65e192ba77c40f20aac"},
+    {file = "xmltodict-0.14.2.tar.gz", hash = "sha256:201e7c28bb210e374999d1dde6382923ab0ed1a8a5faeece48ab525b7810a553"},
 ]
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.12"
-content-hash = "259e2bd37870236ef86dc5893950acf19912b7468e906dc61f78436ea5f34796"
+python-versions = "~3.13"
+content-hash = "4e50b09abcda60ae377c2b303e4f9e9987152faaafca91e35f1cfb20438f7c3a"
diff --git a/app/pyproject.toml b/app/pyproject.toml
index 497aae2..1f67965 100644
--- a/app/pyproject.toml
+++ b/app/pyproject.toml
@@ -6,7 +6,9 @@ packages = [{ include = "src" }]
 authors = ["Nava Engineering <engineering@navapbc.com>"]
 
 [tool.poetry.dependencies]
-python = "^3.12"
+# See /docs/app/README.md#Upgrading Python
+# for details on upgrading your Python version
+python = "~3.13"
 SQLAlchemy = {version = "^2.0.21", extras = ["mypy"]}
 alembic = "^1.12.0"
 python-dotenv = "^1.0.0"
diff --git a/docs/app/README.md b/docs/app/README.md
index d49d3e0..05a80ff 100644
--- a/docs/app/README.md
+++ b/docs/app/README.md
@@ -58,7 +58,7 @@ You can switch which way many of these components are run by setting the `PY_RUN
 * `export PY_RUN_APPROACH=local` will run these components natively
 * `export PY_RUN_APPROACH=docker` will run these within Docker
 
-Note that even with the native mode, many components like the DB and API will only ever run in Docker, and you should always make sure that any implementations work within docker.
+Note that even with the native mode, many components like the DB and API will only ever run in Docker, and you should always make sure that any implementations work within Docker.
 
 Running in the native/local approach may require additional packages to be installed on your machine to get working.
 
@@ -69,8 +69,8 @@ Running in the native/local approach may require additional packages to be insta
 * Run `poetry install --all-extras --with dev` to keep your Poetry packages up to date
 * Load environment variables from the local.env file, see below for one option.
 
-One option for loading all of your local.env variables is to install direnv: https://direnv.net/
-You can configure direnv to then load the local.env file by creating an `.envrc` file in the /app directory that looks like:
+One option for loading all of your local.env variables is to install `direnv`: https://direnv.net/
+You can configure `direnv` to then load the local.env file by creating an `.envrc` file in the /app directory that looks like:
 
 ```sh
 #!/bin/bash
@@ -152,3 +152,30 @@ The API can be run in debug mode that allows for remote attach debugging (curren
     ]
 }
 ```
+
+## Upgrading Python
+Python does [yearly releases](https://devguide.python.org/versions/) for their minor versions (eg. 3.12 -> 3.13). They do not
+use semvar versioning, and their [minor releases](https://devguide.python.org/developer-workflow/development-cycle/#devcycle) contain
+breaking changes.
+
+Pin to a specific minor version of python just in case anything would break when the yearly release does occur.
+Only pin the minor versions of Python (eg. 3.12), and not the patch versions (eg. 3.12.1) as those contain bug and security fixes.
+
+Along with any version upgrades, remember to:
+- Test the system functionality before deploying to production
+- Review the [changelog](https://docs.python.org/3/whatsnew/changelog.html)
+for any breaking changes of features you may use
+
+### Upgrade Steps
+To upgrade the Python version, make changes in the following places:
+1. Local Python version (see more about managing local Python versions in [getting started](/docs/app/getting-started.md))
+2. [Dockerfile](/app/Dockerfile)
+    search for the line `FROM python:3.12-slim as base` - supported versions can be found on [Dockerhub](https://hub.docker.com/_/python)
+3. [pyproject.toml](/app/pyproject.toml)
+    search for the line
+    ```toml
+    [tool.poetry.dependencies]
+    python = "~3.12"
+    ```
+   Then run `poetry lock --no-update` to update the [poetry.lock](/app/poetry.lock) file.
+4. [.python-version](/app/.python-version) which is used by tools like pyenv
diff --git a/docs/app/database/database-management.md b/docs/app/database/database-management.md
index 6c3724a..70f9252 100644
--- a/docs/app/database/database-management.md
+++ b/docs/app/database/database-management.md
@@ -33,8 +33,8 @@ To clean the database, use the following command:
 make db-recreate
 ```
 
-This will remove _all_ docker project volumes, rebuild the database volume, and 
-run all pending migrations. Once completed, only the database container will be 
+This will remove _all_ docker project volumes, rebuild the database volume, and
+run all pending migrations. Once completed, only the database container will be
 running. Simply run `make start` to bring up all other project containers.
 
 ## Running migrations
@@ -100,7 +100,7 @@ make db-migrate-history
 
 When multiple migrations are created that point to the same `down_revision` a
 branch is created, with the tip of each branch being a "head". The above history
-command will show this, but a list of just the heads can been retrieved with:
+command will show this, but a list of just the heads can be retrieved with:
 
 ```sh
 make db-migrate-heads
diff --git a/docs/app/database/database-testing.md b/docs/app/database/database-testing.md
index 4308cbd..a6b9c71 100644
--- a/docs/app/database/database-testing.md
+++ b/docs/app/database/database-testing.md
@@ -4,7 +4,7 @@ This document describes how the database is managed in the test suite.
 
 ## Test Schema
 
-The test suite creates a new PostgreSQL database schema separate from the `public` schema that is used by the application outside of testing. This schema persists throughout the testing session is dropped at the end of the test run. The schema is created by the `db` fixture in [conftest.py](../../../app/tests/conftest.py). The fixture also creates and returns an initialized instance of the [db.DBClient](../../../app/src/db/__init__.py) that can be used to connect to the created schema.
+The test suite creates a new PostgreSQL database schema separate from the `public` schema that is used by the application outside of testing. This schema persists throughout the testing session and is dropped at the end of the test run. The schema is created by the `db` fixture in [conftest.py](../../../app/tests/conftest.py). The fixture also creates and returns an initialized instance of the [db.DBClient](../../../app/src/db/__init__.py) that can be used to connect to the created schema.
 
 Note that [PostgreSQL schemas](https://www.postgresql.org/docs/current/ddl-schemas.html) are entirely different concepts from [Schema objects in OpenAPI specification](https://swagger.io/docs/specification/data-models/).
 
diff --git a/docs/app/getting-started.md b/docs/app/getting-started.md
index 5cd68d0..fc8d55c 100644
--- a/docs/app/getting-started.md
+++ b/docs/app/getting-started.md
@@ -17,7 +17,7 @@ A very simple [docker-compose.yml](/app/docker-compose.yml) has been included to
    curl -sSL https://install.python-poetry.org | python3 -
    ```
 
-3. If you are using an M1 mac, you will need to install postgres as well: `brew install postgresql` (The psycopg2-binary is built from source on M1 macs which requires the postgres executable to be present)
+3. If you are using an M1 Mac, you will need to install Postgres as well: `brew install postgresql` (The psycopg2-binary is built from source on M1 Macs which requires the Postgres executable to be present)
 
 4. You'll also need [Docker Desktop](https://www.docker.com/products/docker-desktop/) installed and running.
 
diff --git a/docs/app/monitoring-and-observability/logging-configuration.md b/docs/app/monitoring-and-observability/logging-configuration.md
index ad43018..ae8fa41 100644
--- a/docs/app/monitoring-and-observability/logging-configuration.md
+++ b/docs/app/monitoring-and-observability/logging-configuration.md
@@ -8,7 +8,7 @@ This document describes how logging is configured in the application. The loggin
 
 We have two separate ways of formatting the logs which are controlled by the `LOG_FORMAT` environment variable.
 
-`json` (default) -> Produces JSON formatted logs which are machine-readable.
+`json` (default) -> Produces JSON formatted logs, which are machine-readable.
 
 ```json
 {
@@ -27,7 +27,7 @@ We have two separate ways of formatting the logs which are controlled by the `LO
 }
 ```
 
-`human-readable` (set by default in `local.env`) -> Produces color coded logs for local development or for troubleshooting.
+`human-readable` (set by default in `local.env`) -> Produces color-coded logs for local development or troubleshooting.
 
 ![Human readable logs](human-readable-logs.png)
 
@@ -37,11 +37,11 @@ The [src.logging.flask_logger](../../../app/src/logging/flask_logger.py) module
 
 ## PII Masking
 
-The [src.logging.pii](../../../app/src/logging/pii.py) module defines a filter that applies to all logs that automatically masks data fields that look like social security numbers.
+The [src.logging.pii](../../../app/src/logging/pii.py) module defines a filter that applies to all logs and automatically masks data fields that look like social security numbers.
 
 ## Audit Logging
 
-* The [src.logging.audit](../../../app/src/logging/audit.py) module defines a low level audit hook that logs events that may be of interest from a security point of view, such as dynamic code execution and network requests.
+* The [src.logging.audit](../../../app/src/logging/audit.py) module defines a low-level audit hook that logs events that may be of interest from a security point of view, such as dynamic code execution and network requests.
 
 ## Additional Reading
 
diff --git a/docs/app/monitoring-and-observability/logging-conventions.md b/docs/app/monitoring-and-observability/logging-conventions.md
index 42b7f0c..a8e830d 100644
--- a/docs/app/monitoring-and-observability/logging-conventions.md
+++ b/docs/app/monitoring-and-observability/logging-conventions.md
@@ -8,7 +8,7 @@ Logging is a valuable tool for engineering teams to support products in producti
 
 ### Make code observability a primary tool for debugging and reasoning about production code
 
-When a user runs into an issue in production, logs offer one of the primary ways of understanding what happened. This is especially important for situations where we can’t or don’t know how to reproduce the issue. In general it is not feasible to attach a debugger to production systems, or to set breakpoints and inspect the state of the application in production, so logs offer a way to debug through “print statements”.
+When a user runs into an issue in production, logs offer one of the primary ways of understanding what happened. This is especially important for situations where we can’t or don’t know how to reproduce the issue. In general, it is not feasible to attach a debugger to production systems, or to set breakpoints and inspect the state of the application in production, so logs offer a way to debug through “print statements”.
 
 ### Make it easy for on-call engineers to search for logs in the codebase
 
@@ -30,13 +30,13 @@ Log querying systems are often limited in their querying abilities. Most log dat
 
 ### Log event type
 
-- **INFO** – Use INFO events to log something informational. This can be information that's useful for investigations, debugging, or tracking metrics. Note that events such as a user or client error (such as validation errors or 4XX bad request errors) should use INFO, since those are expected to occur as part of normal operation and do not necessarily indicate anything wrong with the system. Do not use ERROR or WARNING for user or client errors to avoid cluttering error logs.
-- **ERROR** – Use ERROR events if the the system is failed to complete some business operation. This can happen if there is an unexpected exception or failed assertion. Error logs can be used to trigger an alert to on-call engineers to look into a potential issue.
-- **WARNING** – Use WARNING to indicate that there *may* be something wrong with the system but that we have not yet detected any immediate impact on the system's ability to successfully complete the business operation. For example, you can warn on failed soft assumptions and soft constraints. Warning logs can be used to trigger notifications that engineers need to look into during business hours.
+- **INFO** – Use `INFO` events to log something informational. This can be information that's useful for investigations, debugging, or tracking metrics. Note that events such as a user or client error (such as validation errors or 4XX bad request errors) should use `INFO`, since those are expected to occur as part of normal operation and do not necessarily indicate anything wrong with the system. Do not use `ERROR` or `WARNING` for user or client errors to avoid cluttering error logs.
+- **ERROR** – Use `ERROR` events if the system fails to complete some business operation. This can happen if there is an unexpected exception or failed assertion. Error logs can be used to trigger an alert to on-call engineers to look into a potential issue.
+- **WARNING** – Use `WARNING` to indicate that there *may* be something wrong with the system but that we have not yet detected any immediate impact on the system's ability to successfully complete the business operation. For example, you can warn on failed soft assumptions and soft constraints. Warning logs can be used to trigger notifications that engineers need to look into during business hours.
 
 ### Log messages
 
-- **Standardized log messages** – Consistently formatted and worded log messages easier to read when viewing many logs at a time, which reduces the chance for human error when interpreting logs. It also makes it easier to write queries by enabling engineers to guess queries and allow New Relic autocomplete to show available log message options to filter by.
+- **Standardized log messages** – Consistently formatted and worded log messages are easier to read when viewing many logs at a time, which reduces the chance of human error when interpreting logs. It also makes it easier to write queries by enabling engineers to guess queries and allowing New Relic autocomplete to show available log message options to filter by.
 - **Statically defined log messages** – Avoid putting dynamic data in log messages. Static messages are easier to search for in the codebase. Static messages are also easier to query for those specific log events without needing to resort to RLIKE queries with regular expressions or LIKE queries.
 
 ### Attributes
@@ -44,7 +44,7 @@ Log querying systems are often limited in their querying abilities. Most log dat
 - **Log primitives not objects** – Explicitly list which attributes you are logging to avoid unintentionally logging PII. This also makes it easier for engineers to know what attributes are available for querying, or for engineers to search for parts of the codebase that logs these attributes.
 - **Structured metadata in custom attributes** – Put metadata in custom attributes (not in the log message) so that it can be used in queries more easily. This is especially helpful when the attributes are used in "group by" clauses to avoid needing to use more complicated queries.
   - **system identifiers** – Log all relevant system identifiers (uuids, foreign keys)
-  - **correlation ids** – Log ids that can be shared between frontend events, backend logs, and ideally even sent to external services
+  - **correlation ids** – Log ids that can be shared between front-end events, backend logs, and ideally even sent to external services
   - **discrete or discretized attributes** – Log all useful non-PII discrete attributes (enums, flags) and discretized versions of continuous attributes (e.g. comment → has_comment, household → is_married, has_dependents)
 - **Denormalized data** – Include relevant metadata from related entities. Including denormalized (i.e. redundant) data makes queries easier and faster, and removes the need to join or self-join between datasets, which is not always feasible.
 - **Fully-qualified globally consistent attribute names** – Using consistent attribute names everywhere. Use fully qualified attribute names (e.g. application.application_id instead of application_id) to avoid naming conflicts.
diff --git a/docs/decisions/0000-use-markdown-architectural-decision-records.md b/docs/decisions/0000-use-markdown-architectural-decision-records.md
index 1aab9e5..c82b8cd 100644
--- a/docs/decisions/0000-use-markdown-architectural-decision-records.md
+++ b/docs/decisions/0000-use-markdown-architectural-decision-records.md
@@ -18,7 +18,7 @@ Which format and structure should these records follow?
 Chosen option: "MADR 2.1.2", because
 
 * Implicit assumptions should be made explicit.
-  Design documentation is important to enable people understanding the decisions later on.
+  Design documentation is important to enable people to understand the decisions later on.
   See also [A rational design process: How and why to fake it](https://doi.org/10.1109/TSE.1986.6312940).
 * The MADR format is lean and fits our development style.
 * The MADR structure is comprehensible and facilitates usage & maintenance.
diff --git a/docs/decisions/0001-connexion-replacement.md b/docs/decisions/0001-connexion-replacement.md
index 48135cf..b5d91f4 100644
--- a/docs/decisions/0001-connexion-replacement.md
+++ b/docs/decisions/0001-connexion-replacement.md
@@ -8,14 +8,14 @@ Technical Story: https://github.com/navapbc/template-application-flask/issues/12
 
 ## Context and Problem Statement
 
-This template library was built out using Flask + Connexion as the API technology. We are investigating if we want to keep using Connexion, or potentially move to another Flask-wrapper API approach. Any approach we consider must make it possible to easily setup an OpenAPI/Swagger endpoint.
+This template library was built using Flask + Connexion as the API technology. We are investigating if we want to keep using Connexion, or potentially move to another Flask-wrapper API approach. Any approach we consider must make it possible to easily set up an OpenAPI/Swagger endpoint.
 
 We aren't looking to move off of Flask at the moment as we feel that would be a much larger refactor.
 
 ## Decision Drivers
 
-* Connexion requires you to specify an OpenAPI spec, but passes the request objects as an the raw JSON. We currently use Pydantic to convert this into a python object for additional validations & for ease-of-use, but this effectively means we need to define any models twice.
-* Defining the OpenAPI specs first instead of defining the data models in code has often been more frustrating. While one goal of doing it this way was the ability to create mock-endpoints while development is ongoing, this can also be easily handled by just making the endpoint return a static response in-code.
+* Connexion requires you to specify an OpenAPI spec but passes the request objects as the raw JSON. We currently use Pydantic to convert this into a Python object for additional validations & for ease of use, but this effectively means we need to define any models twice.
+* Defining the OpenAPI specs first instead of defining the data models in code has often been more frustrating. While one goal of doing it this way was the ability to create mock endpoints while development is ongoing, this can also be easily handled by just making the endpoint return a static response in-code.
 * Connexion's defaults for validation leave a lot to be desired. While we currently override these, it adds a lot of boilerplate to this template library, and isn't immediately obvious.
 * Code first is recommended by Swagger when building internal APIs that need to be built quickly: https://swagger.io/blog/api-design/design-first-or-code-first-api-development/ which is often the case for our endpoints that aren't directly exposed to users.
 
@@ -31,11 +31,11 @@ We aren't looking to move off of Flask at the moment as we feel that would be a
 
 ## Decision Outcome
 
-Chosen option: "APIFlask", because it appears to be a library that has taken several lessons from the other libraries. It aims to simplify a lot of the headache with setting up and vending an OpenAPI schema, while being incredibly well documented, and very easy to configure. The documentation does a great job of explaining each component, the rationality of the default behavior, and how to adjust that behavior if needed.
+Chosen option: "APIFlask", because it appears to be a library that has taken several lessons from the other libraries. It aims to simplify a lot of the headache with setting up and vending an OpenAPI schema while being incredibly well-documented, and very easy to configure. The documentation does a great job of explaining each component, the rationality of the default behavior, and how to adjust that behavior if needed.
 
 ### Positive Consequences <!-- optional -->
 
-* No more writing OpenAPI specs, instead writing models once in-code.
+* No more writing OpenAPI specs, instead writing models once in code.
 ### Negative Consequences <!-- optional -->
 
 * If we use Marshmallow-dataclass, it's a bit cumbersome to define the validation rules as they all get passed via a metadata map. A utility for generating this so you can instead do `phone_number: str = field(metadata=get_metadata(required=True, regex="...", example="..."))` would go a long way in mitigating this annoyance.
@@ -44,7 +44,7 @@ Chosen option: "APIFlask", because it appears to be a library that has taken sev
 
 ### APIFlask
 
-[APIFlask](https://apiflask.com/openapi/) is a framework wrapped around Flask (much like Connexion) that also leverages [marshmallow](https://github.com/marshmallow-code/marshmallow) for data models, and [Flask-HTTPAuth](https://github.com/miguelgrinberg/flask-httpauth) for authentication. See [Comparison and Motivations](https://apiflask.com/comparison/) for further details on its creation and purpose.
+[APIFlask](https://apiflask.com/openapi/) is a framework wrapped around Flask (much like Connexion) that also leverages [marshmallow](https://github.com/marshmallow-code/marshmallow) for data models and [Flask-HTTPAuth](https://github.com/miguelgrinberg/flask-httpauth) for authentication. See [Comparison and Motivations](https://apiflask.com/comparison/) for further details on its creation and purpose.
 
 <details>
 <summary>Example implementation</summary>
@@ -130,10 +130,10 @@ def create_user(user: User):
 ```
 </details>
 
-* Good, because the documentation is immensely thorough, and does a great job of explaining all the customization options, while providing sane defaults.
+* Good, because the documentation is immensely thorough, and does a great job of explaining all the customization options while providing sane defaults.
 * Good, because you can [register custom error processors](https://apiflask.com/error-handling/#custom-error-response-processor) which would allow us to reuse and adapt our existing error processors - although it looks like the defaults are more sane - as all errors, not just the first get added to the error response.
-* Good, because [authentication looks to be flexible](https://apiflask.com/authentication/), and allow you to define it as if you were writing the openAPI.
-* Good, because the [API uses Marshmallow](https://apiflask.com/schema/) for its data schema, which is a [well maintained library](https://github.com/marshmallow-code/marshmallow) - and additionally supports [Marshmallow Dataclass](https://apiflask.com/schema/#use-dataclass-as-data-schema) which is a wrapper that allows you to interact directly with dataclass objects which further improves runtime typing.
+* Good, because [authentication looks to be flexible](https://apiflask.com/authentication/), and allows you to define it as if you were writing the OpenAPI.
+* Good, because the [API uses Marshmallow](https://apiflask.com/schema/) for its data schema, which is a [well-maintained library](https://github.com/marshmallow-code/marshmallow) - and additionally supports [Marshmallow Dataclass](https://apiflask.com/schema/#use-dataclass-as-data-schema) which is a wrapper that allows you to interact directly with dataclass objects which further improves runtime typing.
 * Meh, because methods end up with several decorators, although you can [group route methods into classes](https://apiflask.com/usage/#use-class-based-views) and make them share decorators (eg. set the authentication decorator on the class).
 * Bad, because APIFlask 1.0 only released in May 2022, with the first beta release about a year earlier, so the project is still somewhat young.
 
@@ -208,21 +208,21 @@ if __name__ == "__main__":
 * Good, because the API model definitions use Pydantic, which is a well-supported library we are already familiar with.
 * Good, because the API definitions are minimal and pretty intuitive to read.
 * Bad, because the documentation isn't fully detailed, and the errors that occur when trying to get the API running aren't very clear. In ~30 minutes of debugging, I hadn't figured out how to get the API to fully run.
-* Bad, while it generates swagger docs, and can display example responses, it doesn't appear that you can specify example requests or parameters. This effectively makes swagger unusable.
+* Bad, while it generates swagger docs, and can display example responses, it doesn't appear that you can specify example requests or parameters. This effectively makes Swagger unusable.
 * Bad, because it appears that the library is primarily [maintained by one person](https://github.com/luolingchun/flask-openapi3/commits/master), and appears to still be going through early implementation fixes.
 
 ### Flasgger
 
-[Flasgger](https://github.com/flasgger/flasgger) is a library that runs adjacent to your Flask app to vend a swagger endpoint. 
+[Flasgger](https://github.com/flasgger/flasgger) is a library that runs adjacent to your Flask app to vend a swagger endpoint.
 
 Note that Flasgger has several different ways to define the schema. This specifically looked at only the approaches that defined the OpenAPI models in code, as the other approaches amount to defining your own OpenAPI schema (either as a yaml file, or as a comment on the function), which is virtually the same as how connexion works, so would provide no benefit to do.
 
 [A tool](https://github.com/flasgger/flasgger/blob/master/examples/apispec_example.py) exists for generating the docs for Flasgger from the APISpec definitions (see that section for APISpec details), so we could combine the two if desired.
 
-No example implementation as the ones presented in the docs didn't actually function out-of-the-box.
+No example implementation as the ones presented in the docs didn't actually function out of the box.
 
-* Good, because there is a lot of variety in how you setup your schema, although most require defining the JSON/YAML yourself.
-* Bad, because the non-JSON/YAML approaches don't appear to be the main purpose of this API, and little documentation/examples exists regarding their usage.
+* Good, because there is a lot of variety in how you set up your schema, although most require defining the JSON/YAML yourself.
+* Bad, because the non-JSON/YAML approaches don't appear to be the main purpose of this API, and little documentation/examples exist regarding their usage.
 * Bad, because it seems the approach for running using [Marshmallow for the schema](https://github.com/flasgger/flasgger#using-marshmallow-schemas) isn't valid anymore as the parameters that Flask takes in don't match the example. From reading various other docs, Flask seems to have had a major version update that changed it a bit in recent years, so that is likely the cause.
 
 ### Flask Smorest
@@ -304,9 +304,9 @@ if __name__ == "__main__":
 
 </details>
 
-* Good, because the API uses Marshmallow for its data schema, which is a [well maintained library](https://github.com/marshmallow-code/marshmallow) - it's in the same project.
+* Good, because the API uses Marshmallow for its data schema, which is a [well-maintained library](https://github.com/marshmallow-code/marshmallow) - it's in the same project.
 * Good, because it is fairly straightforward and just seems to work as expected.
-* Bad, because the documentation is pretty minimal beyond getting openapi running. Seems like this is just an openapi wrapper with no other additional features.
+* Bad, because the documentation is pretty minimal beyond getting OpenAPI running. Seems like this is just an OpenAPI wrapper with no other additional features.
 * Bad, because it is pretty barebones. It just sets up a swagger endpoint and does the object validation, but doesn't handle anything beyond that regarding authentication.
 * Bad, because even the maintainers recognize it needs a [bit more work](https://github.com/apiflask/apiflask/discussions/14#discussioncomment-571898)
 
@@ -422,14 +422,14 @@ if __name__ == "__main__":
 ```
 </details>
 
-* Good, because the API uses Marshmallow for its data schema, which is a [well maintained library](https://github.com/marshmallow-code/marshmallow) - it's in the same project.
+* Good, because the API uses Marshmallow for its data schema, which is a [well-maintained library](https://github.com/marshmallow-code/marshmallow) - it's in the same project.
 * Good, because it gives a lot of flexibility for defining the OpenAPI docs, [including security](https://apispec.readthedocs.io/en/latest/special_topics.html#documenting-security-schemes).
 * Bad, because you still have to specify some of the OpenAPI docs as a comment on the function. The primary gain is being able to use Marshmallow to define the schema models, but the routes are still largely yaml.
 * Bad, because apispec doesn't actually run the swagger docs, it just generates them. You would need to use one of the other approaches here in tandem.
 
 ### Flask RESTX
 
-[Flask RESTX](https://github.com/python-restx/flask-restx) (a fork of Flask-RESTPlus) is a library that runs adjacent to Flask that helps standup a swagger endpoint for your app.
+[Flask RESTX](https://github.com/python-restx/flask-restx) (a fork of Flask-RESTPlus) is a library that runs adjacent to Flask and helps standup a swagger endpoint for your app.
 
 <details>
 <summary>Example implementation</summary>
@@ -502,8 +502,8 @@ if __name__ == "__main__":
 * Good, because the way it organizes namespaces (ie. tags), and parameters is intuitive and fairly readable.
 * Good, because it provides implicit [masking logic](https://flask-restx.readthedocs.io/en/latest/mask.html) that makes masking responses easy which is helpful when working with PII.
 * Bad, because while you define a model, you define it as a dictionary, not a class, and thus end up working with just dictionaries. If we wanted any well-structured classes, we'd need to define that separately.
-* Bad, because they have an entire section of documention about [request parsing](https://flask-restx.readthedocs.io/en/latest/parsing.html) that is deprecated - and seems to have been replaced quite some time ago (not well maintained?).
-* Bad, because the last release was a over a year ago, and there have only been a very small number of commits this year.
+* Bad, because they have an entire section of documentation about [request parsing](https://flask-restx.readthedocs.io/en/latest/parsing.html) that is deprecated - and seems to have been replaced quite some time ago (not well maintained?).
+* Bad, because the last release was over a year ago, and there have only been a very small number of commits this year.
 
 
 ### APIFairy
@@ -594,7 +594,7 @@ if __name__ == "__main__":
 ```
 </details>
 
-* Good, because the API uses Marshmallow for its data schema, which is a [well maintained library](https://github.com/marshmallow-code/marshmallow).
+* Good, because the API uses Marshmallow for its data schema, which is a [well-maintained library](https://github.com/marshmallow-code/marshmallow).
 * Good, because the decorators are named fairly intuitively and help make the methods clearer.
 * Bad, because it insists Marshmallow "just works" but.. doesn't (see the hacky `jsonify` I had to do in the example). The very unhelpful error messages it gave about `jsonify` not existing were very frustrating.
 * Bad, because the documentation doesn't have any fully working examples making it difficult to figure out a minimal viable implementation. It is written as if you're adjusting a fully-formed Marshmallow-based Flask app, and not starting from scratch.
diff --git a/docs/decisions/0002-use-typeddict-to-model-service-params.md b/docs/decisions/0002-use-typeddict-to-model-service-params.md
index 53b7995..0b91fce 100644
--- a/docs/decisions/0002-use-typeddict-to-model-service-params.md
+++ b/docs/decisions/0002-use-typeddict-to-model-service-params.md
@@ -6,9 +6,9 @@
 
 ## Context and Problem Statement
 
-We want to design a pattern of writing API code that provides appropriately levels of static and runtime type safety when dealing with API request bodies and parameters to service methods while minimizing code duplication if possible.
+We want to design a pattern of writing API code that provides appropriate levels of static and runtime type safety when dealing with API request bodies and parameters to service methods while minimizing code duplication if possible.
 
-In apiflask, [Marshmallow](https://marshmallow.readthedocs.io/en/stable/) schemas are used to perform runtime validation of the JSON request body of incoming requests. However, the resulting object that is loaded from the JSON is still a plain `dict`, which loses all its type information.
+In `apiflask`, [Marshmallow](https://marshmallow.readthedocs.io/en/stable/) schemas are used to perform runtime validation of the JSON request body of incoming requests. However, the resulting object that is loaded from the JSON is still a plain `dict`, which loses all its type information.
 
 Consider the following example:
 
@@ -104,7 +104,7 @@ We considered the following data type options for representing parameters to ser
     @dataclass
     class Foo:
         bar: str
-    
+
     d = {"typo": "baz"}
     Foo(**d) # raises a TypeError
     ```
@@ -131,7 +131,7 @@ In attempting to minimize code duplication between defining parameters for "crea
         fields_to_patch: list[str]
     ```
 
-    The problem with this is that it's not possible to tell from looking at the `CreateUserParams` class which fields are required or not, as they all need to be able to be able to be `None` for the `PATCH` request to work. Also, developers would be forced to add `assert create_user_params.first_name is not None` in method calls to pass type checking. An alternative would be to define a `missing` sentinal value that is separate from `None`, that can be used to distinguish between `None`, [as suggested by @zelgadis in this PR comment](https://github.com/navapbc/template-application-flask/pull/51#discussion_r1053891320).
+    The problem with this is that it's not possible to tell from looking at the `CreateUserParams` class which fields are required or not, as they all need to be able to be able to be `None` for the `PATCH` request to work. Also, developers would be forced to add `assert create_user_params.first_name is not None` in method calls to pass type checking. An alternative would be to define a `missing` sentinal value that is separate from `None`, which can be used to distinguish between `None`, [as suggested by @zelgadis in this PR comment](https://github.com/navapbc/template-application-flask/pull/51#discussion_r1053891320).
 
 * **Use separate dataclasses for create and patch params, where all fields can have the type `Missing`, indicating that the field was unset.**
 
diff --git a/docs/decisions/0003-keep-generated-openapi-spec-to-source-control.md b/docs/decisions/0003-keep-generated-openapi-spec-to-source-control.md
index b9f0901..290d0e9 100644
--- a/docs/decisions/0003-keep-generated-openapi-spec-to-source-control.md
+++ b/docs/decisions/0003-keep-generated-openapi-spec-to-source-control.md
@@ -6,7 +6,7 @@
 
 ## Context and Problem Statement
 
-With the switch from Connexion to APIFlask (see [Connection replacement ADR](./0001-connexion-replacement.md)), the code-first approach to defining the API specification meant that the `openapi.yml` file was no longer needed. This caused multiple engineers to be confused why the file still existed in source control. This ADR decides how to eliminate that confusion.
+With the switch from Connexion to APIFlask (see [Connection replacement ADR](./0001-connexion-replacement.md)), the code-first approach to defining the API specification meant that the `openapi.yml` file was no longer needed. This caused multiple engineers to be confused as to why the file still existed in source control. This ADR decides how to eliminate that confusion.
 
 ## Considered Options
 
@@ -16,7 +16,7 @@ With the switch from Connexion to APIFlask (see [Connection replacement ADR](./0
 
 ## Decision Outcome
 
-We chose to keep the openapi.yml file in source control because we want changes to the API to be called out explicitly so that developers do not accidentally make backwards incompatible changes to the API as part of a code change. This is particularly important since the API spec is now implicit as the OpenAPI specification is automatically generated from the code.
+We chose to keep the openapi.yml file in source control because we want changes to the API to be called out explicitly so that developers do not accidentally make backwards-incompatible changes to the API as part of a code change. This is particularly important since the API spec is now implicit as the OpenAPI specification is automatically generated from the code.
 
 We chose to keep the openapi.yml file in sync with the API application automatically using a [CI workflow that generates the OpenAPI and pushes and changes to the PR branch](../../.github/workflows/ci-openapi.yml). This reduces the amount of manual work required by the engineer compared to a CI check that only checks for diffs but does not make the change. That said, we don't feel strongly about this decision so are open to changes in the future.
 
diff --git a/docs/decisions/index.md b/docs/decisions/index.md
index 0d5118d..6eb68f6 100644
--- a/docs/decisions/index.md
+++ b/docs/decisions/index.md
@@ -1,24 +1,16 @@
-# Architectural Decision Log
-
-This log lists the architectural decisions for [project name].
-
-<!-- adrlog -- Regenerate the content by using "adr-log -i -e template.md". You can install it via "npm install -g adr-log" -->
-
-* [ADR-0000](infra/0000-use-markdown-architectural-decision-records.md) - Use Markdown Architectural Decision Records
-* [ADR-0001](infra/0001-ci-cd-interface.md) - CI/CD Interface
-* [ADR-0002](infra/0002-use-custom-implementation-of-github-oidc.md) - Use custom implementation of GitHub OIDC to authenticate GitHub actions with AWS rather than using module in Terraform Registry
-* [ADR-0003](infra/0003-manage-ecr-in-prod-account-module.md) - Manage ECR in prod account module
-* [ADR-0004](infra/0004-separate-terraform-backend-configs-into-separate-config-files.md) - Separate tfbackend configs into separate files
-* [ADR-0005](infra/0005-separate-database-infrastructure-into-separate-layer.md) - Separate the database infrastructure into a separate layer
-* [ADR-0006](infra/0006-provision-database-users-with-serverless-function.md) - Provision database users with serverless function
-* [ADR-0007](infra/0007-database-migration-architecture.md) - Database Migration Infrastructure and Deployment
-* [ADR-0008](infra/0008-consolidate-infra-config-from-tfvars-files-into-config-module.md) - Consolidate infra configuration from .tfvars files into config module
-* [ADR-0009](infra/0009-separate-app-infrastructure-into-layers.md) - Separate app infrastructure into layers
-* [ADR-0010](infra/0010-feature-flags-system-design.md) - Feature flags system design
-* [ADR-0011](infra/0011-network-layer-design.md) - Design of network layer
-
-<!-- adrlogstop -->
-
-For new ADRs, please use [template.md](template.md) as basis.
-More information on MADR is available at <https://adr.github.io/madr/>.
-General information about architectural decision records is available at <https://adr.github.io/>.
+# Architectural Decision Log
+
+This log lists the architectural decisions for [project name].
+
+<!-- adrlog -- Regenerate the content by using "adr-log -i". You can install it via "npm install -g adr-log" -->
+
+* [ADR-0000](0000-use-markdown-architectural-decision-records.md) - Use Markdown Architectural Decision Records
+* [ADR-0001](0001-connexion-replacement.md) - Connexion Alternatives Decision Record
+* [ADR-0002](0002-use-typeddict-to-model-service-params.md) - Use TypedDict to model parameters to service methods
+* [ADR-0003](0003-keep-generated-openapi-spec-to-source-control.md) - Keep generated OpenAPI YAML specification file in source control
+
+<!-- adrlogstop -->
+
+For new ADRs, please use [template.md](template.md) as a basis.
+More information on MADR is available at <https://adr.github.io/madr/>.
+General information about architectural decision records is available at <https://adr.github.io/>.