diff --git a/src/poetry.lock b/src/poetry.lock
index a408225a..9b17e2fd 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 = "1.43.83"
 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 = "boto3-1.43.83-py3-none-any.whl", hash = "sha256:73a3564f737d4516625964eee709a498fa98ccee6aca929febad2b0b5fbeae1e"},
+    {file = "boto3-1.43.83.tar.gz", hash = "sha256:6413d6e99f716af5d333a732db140e4b3359cac005a1271b11777b6d9ca82194"},
 ]
 
 [package.dependencies]
-botocore = ">=1.43.68,<1.44.0"
+botocore = ">=1.43.83,<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 = "1.43.85"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.10"
 groups = ["optional"]
 files = [
-    {file = "botocore-1.43.68-py3-none-any.whl", hash = "sha256:9985c6eb9b7896f88bd89c07d543accd6985ea772af9d796087012ad40f78420"},
-    {file = "botocore-1.43.68.tar.gz", hash = "sha256:a6c7ac88724c96f2ad5a7657f87d545d8218a74a1b219ba4397e3d37481941cd"},
+    {file = "botocore-1.43.85-py3-none-any.whl", hash = "sha256:685510e5f4c0f321806c815a60f121a176c0969665f053c4a336209cbe62b1d5"},
+    {file = "botocore-1.43.85.tar.gz", hash = "sha256:8fc0a3c56078c629320b021edadf7a45d289eea21a4988ada6a02277e5bbbdc0"},
 ]
 
 [package.dependencies]
@@ -2466,34 +2466,35 @@ google-auth = ["google-auth (>=1.0.1)"]
 
 [[package]]
 name = "langchain-anthropic"
-version = "1.5.4"
+version = "1.7.0"
 description = "Integration package connecting Claude (Anthropic) APIs and LangChain"
 optional = false
 python-versions = "<4.0.0,>=3.10.0"
 groups = ["optional"]
 files = [
-    {file = "langchain_anthropic-1.5.4-py3-none-any.whl", hash = "sha256:730a9cb1ad384c9f1642840469c1ebbf20237066b1635f5d4fa9876e365fceaf"},
-    {file = "langchain_anthropic-1.5.4.tar.gz", hash = "sha256:113cb9bdac3169f2da65ea395dedb290e30dc6f899d01c205ba88aa88a2a02c2"},
+    {file = "langchain_anthropic-1.7.0-py3-none-any.whl", hash = "sha256:68b34369aa01dad0c67bc690b8c47e09d06bd30fb28f320ad19ddc71c4445dc0"},
+    {file = "langchain_anthropic-1.7.0.tar.gz", hash = "sha256:d48e3c118ff8d3eea83f17b50234a2d2ff491a2375d565f212eb990e7e3856cb"},
 ]
 
 [package.dependencies]
-anthropic = ">=0.120.0,<1.0.0"
-langchain-core = ">=1.5.2,<2.0.0"
+anthropic = ">=0.120.0,<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 = "1.6.1"
 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-1.6.1-py3-none-any.whl", hash = "sha256:954a84132a5cb0435d27b910e336347b6744ecc18fbeef1e2de7029a0959841a"},
+    {file = "langchain_core-1.6.1.tar.gz", hash = "sha256:1b156cb395aac4f009a8a1b38a574c7d948fe2d5f74c96e0d8a5017b4149e04f"},
 ]
 
 [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]]
@@ -2916,21 +2918,21 @@ files = [
 
 [[package]]
 name = "mcp"
-version = "2.0.0"
+version = "2.1.1"
 description = "Model Context Protocol SDK"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "mcp-2.1.1.tar.gz", hash = "sha256:50b7ba1ebbe117008ea7bdd288234043e69c20b403d6851d19661e6d431a75ef"},
 ]
 
 [package.dependencies]
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 httpx2 = ">=2.5.0"
 jsonschema = ">=4.20.0"
-mcp-types = "2.0.0"
+mcp-types = "2.1.1"
 opentelemetry-api = ">=1.28.0"
 pydantic = ">=2.12.0"
 pyjwt = {version = ">=2.10.1", extras = ["crypto"]}
@@ -2948,14 +2950,14 @@ rich = ["rich (>=13.9.4)"]
 
 [[package]]
 name = "mcp-types"
-version = "2.0.0"
+version = "2.1.1"
 description = "Model Context Protocol wire types"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "mcp_types-2.1.1.tar.gz", hash = "sha256:77dcbe48fba73cca71a673f2646a5f037a017b7a0a07ac89cec1113028890eda"},
 ]
 
 [package.dependencies]
@@ -3354,57 +3356,64 @@ files = [
 
 [[package]]
 name = "mypy"
-version = "2.3.0"
+version = "2.3.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["lint"]
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 [package.dependencies]
@@ -5911,7 +5925,7 @@ 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 +6210,76 @@ torch = ["torch (>=1.6.0)"]
 
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 [package.dependencies]
@@ -6270,36 +6291,29 @@ blobfile = ["blobfile (>=3)"]
 
 [[package]]
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+    {file = "tokenizers-0.23.1-cp310-abi3-win32.whl", hash = "sha256:93120a930b919416da7cd10a2f606ac9919cc69cacae7980fa2140e277660948"},
+    {file = "tokenizers-0.23.1-cp310-abi3-win_amd64.whl", hash = "sha256:e7bfaf995c1bdbbd21d13539decb6650967013759318627d85daeb7881af16b7"},
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+    {file = "tokenizers-0.23.1.tar.gz", hash = "sha256:1feeeadf865a7915adc25445dea30e9933e593c31bb96c277cee36de227c8bfa"},
 ]
 
 [package.dependencies]
@@ -6391,14 +6405,14 @@ telegram = ["envwrap", "requests"]
 
 [[package]]
 name = "transformers"
-version = "5.15.0"
+version = "5.16.1"
 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-5.16.1-py3-none-any.whl", hash = "sha256:2f2d5b98a5ad3718713653734298fa620754ed683702a635ebb587df3ed29c7e"},
+    {file = "transformers-5.16.1.tar.gz", hash = "sha256:17b0eac726ddc55e84ac58946063e0c6d37fd000c456b581f050ea0f4e822869"},
 ]
 
 [package.dependencies]
@@ -6408,7 +6422,7 @@ packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = ">=2025.10.22"
 safetensors = ">=0.8.0"
-tokenizers = ">=0.22.0,<=0.23.0"
+tokenizers = ">=0.23.1,<0.24.0"
 tqdm = ">=4.60"
 typer = "*"
 
@@ -6420,8 +6434,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"]
 chat-template = ["jinja2 (>=3.1.0)"]
 codecarbon = ["codecarbon (>=2.8.1)"]
 deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.5)", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "hf-doc-builder", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "kernels (>=0.16.0,<0.17)", "libcst", "librosa", "mistral-common[image] (>=1.11.7)", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "tomli", "torch (>=2.5)", "torch (>=2.5)", "torchaudio", "torchvision", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.5)", "transformers-mlinter (==0.1.4)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "hf-doc-builder", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "kernels (>=0.16.0,<0.17)", "libcst", "librosa", "mistral-common[image] (>=1.11.7)", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "tomli", "torch (>=2.5)", "torch (>=2.5)", "torchaudio", "torchvision", "transformers-mlinter (==0.1.4)", "ty (==0.0.20)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"]
 docs = ["hf-doc-builder"]
 integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.16.0,<0.17)", "optuna", "ray[tune] (>=2.7.0)"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
@@ -6429,14 +6443,14 @@ kernels = ["kernels (>=0.16.0,<0.17)"]
 mistral-common = ["mistral-common[image] (>=1.11.7)"]
 num2words = ["num2words"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "tomli", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "tomli", "transformers-mlinter (==0.1.4)", "ty (==0.0.20)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (>=2.15.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.5)", "uvicorn"]
 sklearn = ["scikit-learn"]
-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.5)", "transformers-mlinter (==0.1.2)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
+testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.11.7)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.5)", "transformers-mlinter (==0.1.4)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
 tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (>=1.0.23)"]
 torch = ["accelerate (>=1.1.0)", "torch (>=2.5)"]
@@ -6650,11 +6664,11 @@ 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 +7745,4 @@ 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 = "06e8809a41fe55bc70f4a8e03145b81335d0453b6c336af7ea48ae5c9dc88068"
diff --git a/src/pyproject.toml b/src/pyproject.toml
index 47db04f9..c103beca 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 = "3.8.16"
 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