diff --git a/src/poetry.lock b/src/poetry.lock
index a408225a..21b11e7b 100644
--- a/src/poetry.lock
+++ b/src/poetry.lock
@@ -580,18 +580,18 @@ numpy = {version = ">=1.19.0,<3.0.0", markers = "python_version >= \"3.9\""}
 
 [[package]]
 name = "boto3"
-version = "1.43.68"
+version = "1.43.78"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["optional"]
 files = [
-    {file = "boto3-1.43.68-py3-none-any.whl", hash = "sha256:4be071482312d05ea345ae8a2ea307637d3e2f4fdce44b8ebeb0192929aa2644"},
-    {file = "boto3-1.43.68.tar.gz", hash = "sha256:4be7531c45fbf8eb145ecd0f385c7b8f9d66ba2fd0c256522717260e67fca89d"},
+    {file = "boto3-1.43.78-py3-none-any.whl", hash = "sha256:893f06a171469618e17de78dc927aca6e74fcf45a70d2c5918e9ac9919e96cc9"},
+    {file = "boto3-1.43.78.tar.gz", hash = "sha256:2fa59116e298171ef59e7600a8be6c01177faef8af4b9a4314b7a57a04009ada"},
 ]
 
 [package.dependencies]
-botocore = ">=1.43.68,<1.44.0"
+botocore = ">=1.43.78,<1.44.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.19.0,<0.20.0"
 
@@ -600,14 +600,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.43.68"
+version = "1.43.79"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.10"
 groups = ["optional"]
 files = [
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-    {file = "botocore-1.43.68.tar.gz", hash = "sha256:a6c7ac88724c96f2ad5a7657f87d545d8218a74a1b219ba4397e3d37481941cd"},
+    {file = "botocore-1.43.79-py3-none-any.whl", hash = "sha256:19b2c772ea2590d0baad6ae004a0e478cf2c982e0e6a39c8e2f882d9b2981445"},
+    {file = "botocore-1.43.79.tar.gz", hash = "sha256:dcc0a97b65affcef80e0499745d2e6a5d120253c11b8727b8227df44ab3e958f"},
 ]
 
 [package.dependencies]
@@ -2466,34 +2466,35 @@ google-auth = ["google-auth (>=1.0.1)"]
 
 [[package]]
 name = "langchain-anthropic"
-version = "1.5.4"
+version = "1.6.1"
 description = "Integration package connecting Claude (Anthropic) APIs and LangChain"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["optional"]
 files = [
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-    {file = "langchain_anthropic-1.5.4.tar.gz", hash = "sha256:113cb9bdac3169f2da65ea395dedb290e30dc6f899d01c205ba88aa88a2a02c2"},
+    {file = "langchain_anthropic-1.6.1-py3-none-any.whl", hash = "sha256:befb743448b3e4c2fa0d2406ea7d564be118f21464e7984ce7dc1f5b05bad82d"},
+    {file = "langchain_anthropic-1.6.1.tar.gz", hash = "sha256:8325abbbb33acac9e401a4cfabeb2584e67d3f60ef739aea4e7ee80f317d6d64"},
 ]
 
 [package.dependencies]
 anthropic = ">=0.120.0,<1.0.0"
-langchain-core = ">=1.5.2,<2.0.0"
+langchain-core = ">=1.6.0,<2.0.0"
 pydantic = ">=2.7.4,<3.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "1.5.3"
+version = "1.6.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main", "optional"]
 files = [
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-    {file = "langchain_core-1.5.3.tar.gz", hash = "sha256:a56457ac444fef41e9404443c187f0ecea708d36e816ea4ba9573c027f7d1a2d"},
+    {file = "langchain_core-1.6.0-py3-none-any.whl", hash = "sha256:d8bb924cd413955d9d3192ccced140407427c3ff51e50ffb941222648da92cb2"},
+    {file = "langchain_core-1.6.0.tar.gz", hash = "sha256:dc72e36678ed26683ec0ad8829b44011fba461d10f9b31dbd9110215e5ec2333"},
 ]
 
 [package.dependencies]
+httpx = ">=0.23.0,<1.0.0"
 jsonpatch = ">=1.33.0,<2.0.0"
 langchain-protocol = ">=0.0.17"
 langsmith = ">=0.3.45,<1.0.0"
@@ -2524,19 +2525,20 @@ pydantic = ">=2,<3"
 
 [[package]]
 name = "langchain-openai"
-version = "1.4.3"
+version = "1.6.0"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["main"]
 files = [
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+    {file = "langchain_openai-1.6.0.tar.gz", hash = "sha256:7c545cc1f2bee048a7e219f375b78cd820b32c876ccf825320e25e1e94132577"},
 ]
 
 [package.dependencies]
-langchain-core = ">=1.5.3,<2.0.0"
-openai = ">=2.45.0,<3.0.0"
+certifi = ">=2024.6.2"
+langchain-core = ">=1.6.0,<2.0.0"
+openai = ">=2.45.0,<4.0.0"
 tiktoken = ">=0.7.0,<1.0.0"
 
 [[package]]
@@ -3354,57 +3356,64 @@ files = [
 
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+version = "2.3.1"
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 python-versions = ">=3.10"
 groups = ["lint"]
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 [package.dependencies]
@@ -5911,7 +5915,7 @@ aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"]
 aioodbc = ["aioodbc", "greenlet (>=1)"]
 aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (>=1)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.12)", "greenlet (>=1)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -6196,69 +6200,76 @@ torch = ["torch (>=1.6.0)"]
 
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+    {file = "tiktoken-0.14.0.tar.gz", hash = "sha256:231dec90efcdccf1b565a1416107736f1e09b1a08fe736ef9d6363e626d03874"},
 ]
 
 [package.dependencies]
@@ -6391,14 +6402,14 @@ telegram = ["envwrap", "requests"]
 
 [[package]]
 name = "transformers"
-version = "5.15.0"
+version = "5.15.1"
 description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training."
 optional = false
 python-versions = ">=3.10.0"
 groups = ["main"]
 files = [
-    {file = "transformers-5.15.0-py3-none-any.whl", hash = "sha256:d7f007736f67749ae9490c4f8cb5d30b452ae2d68c8675e50ba8d63ea7feb107"},
-    {file = "transformers-5.15.0.tar.gz", hash = "sha256:bbf98f57b2ddd7c4ecbccfa2c0069017aa6fd01cc204bd50cbc0eeadcf2a13b8"},
+    {file = "transformers-5.15.1-py3-none-any.whl", hash = "sha256:b7cdf238ff583e3a58dbc7fa34da1aaf091ce063141f65a30538160bd5afe93f"},
+    {file = "transformers-5.15.1.tar.gz", hash = "sha256:27c996bd9075ddc82d40f8590dfdc81ea45f611bfca477e0db5d7fd257a482f7"},
 ]
 
 [package.dependencies]
@@ -6650,11 +6661,11 @@ description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "optional"]
-markers = "sys_platform != \"emscripten\""
 files = [
     {file = "uvicorn-0.52.1-py3-none-any.whl", hash = "sha256:e4403f9d93188cf9d1088e9f40e3acd12630e2df8675316704379a7fc20fff6a"},
     {file = "uvicorn-0.52.1.tar.gz", hash = "sha256:112ec661814189acbccd3f7b86460147cc065fc92c0821afa78918780e4354dd"},
 ]
+markers = {main = "sys_platform != \"emscripten\""}
 
 [package.dependencies]
 click = ">=7.0"
@@ -7731,4 +7742,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = "<3.14,>=3.10"
-content-hash = "808a9d00aa11a751f27a9a8ee552bc1098966814785d3f425b0c12ef2b71ba9c"
+content-hash = "eb5326577c5afc9a5dba907468824e47891a3159a981804eb49925c2605af7b3"
diff --git a/src/pyproject.toml b/src/pyproject.toml
index 47db04f9..4ecb420a 100644
--- a/src/pyproject.toml
+++ b/src/pyproject.toml
@@ -31,7 +31,7 @@ pydantic = "^2.5.3"
 transitions = "^0.9.2"
 pydash = "^8.0.3"
 pykka = "^4.2.0"
-spacy = "3.8.14"
+spacy = "3.8.15"
 mcp = ">=1.12.4,<3.0.0"
 # combined_number_extractor (used by NumberValidation) calls word_to_float on
 # almost any text, so this must be a hard dependency, not optional — a normal