diff --git a/libs/langchain/langchain/chains/flare/base.py b/libs/langchain/langchain/chains/flare/base.py
index caf64fe77aa40..b3799dd33cf32 100644
--- a/libs/langchain/langchain/chains/flare/base.py
+++ b/libs/langchain/langchain/chains/flare/base.py
@@ -3,7 +3,6 @@
 import re
 from typing import Any, Dict, List, Optional, Sequence, Tuple
 
-import numpy as np
 from langchain_core.callbacks import (
     CallbackManagerForChainRun,
 )
@@ -57,6 +56,12 @@ def _low_confidence_spans(
     min_token_gap: int,
     num_pad_tokens: int,
 ) -> List[str]:
+    try:
+        import numpy as np
+    except ImportError as e:
+        raise ImportError(
+            "Could not import numpy," "please install with `pip install numpy`."
+        ) from e
     _low_idx = np.where(np.exp(log_probs) < min_prob)[0]
     low_idx = [i for i in _low_idx if re.search(r"\w", tokens[i])]
     if len(low_idx) == 0:
diff --git a/libs/langchain/langchain/chains/hyde/base.py b/libs/langchain/langchain/chains/hyde/base.py
index f48ca4db6b63e..bb8a9d2dca458 100644
--- a/libs/langchain/langchain/chains/hyde/base.py
+++ b/libs/langchain/langchain/chains/hyde/base.py
@@ -7,7 +7,6 @@
 
 from typing import Any, Dict, List, Optional
 
-import numpy as np
 from langchain_core.callbacks import CallbackManagerForChainRun
 from langchain_core.embeddings import Embeddings
 from langchain_core.language_models import BaseLanguageModel
@@ -54,6 +53,12 @@ def embed_documents(self, texts: List[str]) -> List[List[float]]:
 
     def combine_embeddings(self, embeddings: List[List[float]]) -> List[float]:
         """Combine embeddings into final embeddings."""
+        try:
+            import numpy as np
+        except ImportError as e:
+            raise ImportError(
+                "Could not import numpy," "please install with `pip install numpy`."
+            ) from e
         return list(np.array(embeddings).mean(axis=0))
 
     def embed_query(self, text: str) -> List[float]:
diff --git a/libs/langchain/langchain/evaluation/embedding_distance/base.py b/libs/langchain/langchain/evaluation/embedding_distance/base.py
index 569838841cd04..365aec330e11d 100644
--- a/libs/langchain/langchain/evaluation/embedding_distance/base.py
+++ b/libs/langchain/langchain/evaluation/embedding_distance/base.py
@@ -3,7 +3,6 @@
 from enum import Enum
 from typing import Any, Dict, List, Optional
 
-import numpy as np
 from langchain_core.callbacks.manager import (
     AsyncCallbackManagerForChainRun,
     CallbackManagerForChainRun,
@@ -18,6 +17,17 @@
 from langchain.schema import RUN_KEY
 
 
+def _import_numpy() -> Any:
+    try:
+        import numpy as np
+
+        return np
+    except ImportError as e:
+        raise ImportError(
+            "Could not import numpy," "please install with `pip install numpy`."
+        ) from e
+
+
 def _embedding_factory() -> Embeddings:
     """Create an Embeddings object.
     Returns:
@@ -154,7 +164,7 @@ def _get_metric(self, metric: EmbeddingDistance) -> Any:
             raise ValueError(f"Invalid metric: {metric}")
 
     @staticmethod
-    def _cosine_distance(a: np.ndarray, b: np.ndarray) -> np.ndarray:
+    def _cosine_distance(a: Any, b: Any) -> Any:
         """Compute the cosine distance between two vectors.
 
         Args:
@@ -175,7 +185,7 @@ def _cosine_distance(a: np.ndarray, b: np.ndarray) -> np.ndarray:
         return 1.0 - cosine_similarity(a, b)
 
     @staticmethod
-    def _euclidean_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
+    def _euclidean_distance(a: Any, b: Any) -> Any:
         """Compute the Euclidean distance between two vectors.
 
         Args:
@@ -185,10 +195,11 @@ def _euclidean_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
         Returns:
             np.floating: The Euclidean distance.
         """
+        np = _import_numpy()
         return np.linalg.norm(a - b)
 
     @staticmethod
-    def _manhattan_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
+    def _manhattan_distance(a: Any, b: Any) -> Any:
         """Compute the Manhattan distance between two vectors.
 
         Args:
@@ -198,10 +209,11 @@ def _manhattan_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
         Returns:
             np.floating: The Manhattan distance.
         """
+        np = _import_numpy()
         return np.sum(np.abs(a - b))
 
     @staticmethod
-    def _chebyshev_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
+    def _chebyshev_distance(a: Any, b: Any) -> Any:
         """Compute the Chebyshev distance between two vectors.
 
         Args:
@@ -211,10 +223,11 @@ def _chebyshev_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
         Returns:
             np.floating: The Chebyshev distance.
         """
+        np = _import_numpy()
         return np.max(np.abs(a - b))
 
     @staticmethod
-    def _hamming_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
+    def _hamming_distance(a: Any, b: Any) -> Any:
         """Compute the Hamming distance between two vectors.
 
         Args:
@@ -224,9 +237,10 @@ def _hamming_distance(a: np.ndarray, b: np.ndarray) -> np.floating:
         Returns:
             np.floating: The Hamming distance.
         """
+        np = _import_numpy()
         return np.mean(a != b)
 
-    def _compute_score(self, vectors: np.ndarray) -> float:
+    def _compute_score(self, vectors: Any) -> float:
         """Compute the score based on the distance metric.
 
         Args:
@@ -288,6 +302,7 @@ def _call(
         Returns:
             Dict[str, Any]: The computed score.
         """
+        np = _import_numpy()
         vectors = np.array(
             self.embeddings.embed_documents([inputs["prediction"], inputs["reference"]])
         )
@@ -309,6 +324,7 @@ async def _acall(
         Returns:
             Dict[str, Any]: The computed score.
         """
+        np = _import_numpy()
         embedded = await self.embeddings.aembed_documents(
             [inputs["prediction"], inputs["reference"]]
         )
@@ -425,6 +441,7 @@ def _call(
         Returns:
             Dict[str, Any]: The computed score.
         """
+        np = _import_numpy()
         vectors = np.array(
             self.embeddings.embed_documents(
                 [inputs["prediction"], inputs["prediction_b"]]
@@ -448,6 +465,7 @@ async def _acall(
         Returns:
             Dict[str, Any]: The computed score.
         """
+        np = _import_numpy()
         embedded = await self.embeddings.aembed_documents(
             [inputs["prediction"], inputs["prediction_b"]]
         )
diff --git a/libs/langchain/langchain/retrievers/document_compressors/embeddings_filter.py b/libs/langchain/langchain/retrievers/document_compressors/embeddings_filter.py
index f7acd800ac1d6..db949555ccebc 100644
--- a/libs/langchain/langchain/retrievers/document_compressors/embeddings_filter.py
+++ b/libs/langchain/langchain/retrievers/document_compressors/embeddings_filter.py
@@ -1,6 +1,5 @@
 from typing import Callable, Dict, Optional, Sequence
 
-import numpy as np
 from langchain_core.callbacks.manager import Callbacks
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
@@ -69,6 +68,13 @@ def compress_documents(
                 "To use please install langchain-community "
                 "with `pip install langchain-community`."
             )
+
+        try:
+            import numpy as np
+        except ImportError as e:
+            raise ImportError(
+                "Could not import numpy," "please install with `pip install numpy`."
+            ) from e
         stateful_documents = get_stateful_documents(documents)
         embedded_documents = _get_embeddings_from_stateful_docs(
             self.embeddings, stateful_documents
@@ -104,6 +110,13 @@ async def acompress_documents(
                 "To use please install langchain-community "
                 "with `pip install langchain-community`."
             )
+
+        try:
+            import numpy as np
+        except ImportError as e:
+            raise ImportError(
+                "Could not import numpy," "please install with `pip install numpy`."
+            ) from e
         stateful_documents = get_stateful_documents(documents)
         embedded_documents = await _aget_embeddings_from_stateful_docs(
             self.embeddings, stateful_documents
diff --git a/libs/langchain/poetry.lock b/libs/langchain/poetry.lock
index 154ae27fa58cc..4e951c9fe47d3 100644
--- a/libs/langchain/poetry.lock
+++ b/libs/langchain/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,87 +13,87 @@ files = [
 
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+version = "3.11.11"
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 [package.dependencies]
@@ -136,13 +136,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.7.0"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -153,7 +153,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 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)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+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]]
@@ -349,6 +349,7 @@ files = [
 ]
 
 [package.dependencies]
+tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""}
 webencodings = "*"
 
 [package.extras]
@@ -588,127 +589,114 @@ pycparser = "*"
 
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
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+python-versions = ">=3.7"
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@@ -761,73 +749,73 @@ test = ["pytest"]
 
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 ]
 
 [package.dependencies]
@@ -1542,13 +1530,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1852,13 +1840,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.2"
+version = "2.15.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1867,7 +1855,7 @@ argon2-cffi = ">=21.1"
 jinja2 = ">=3.0.3"
 jupyter-client = ">=7.4.4"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-jupyter-events = ">=0.9.0"
+jupyter-events = ">=0.11.0"
 jupyter-server-terminals = ">=0.4.4"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
@@ -2015,7 +2003,7 @@ url = "../core"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.14"
+version = "0.3.0"
 description = "An integration package connecting OpenAI and LangChain"
 optional = true
 python-versions = ">=3.9,<4.0"
@@ -2023,7 +2011,7 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain-core = "^0.3.27"
+langchain-core = "^0.3.29"
 openai = "^1.58.1"
 tiktoken = ">=0.7,<1"
 
@@ -2033,7 +2021,7 @@ url = "../partners/openai"
 
 [[package]]
 name = "langchain-tests"
-version = "0.3.7"
+version = "0.3.8"
 description = "Standard tests for LangChain implementations"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -2058,7 +2046,7 @@ url = "../standard-tests"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.4"
+version = "0.3.5"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -2066,7 +2054,7 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain-core = "^0.3.26"
+langchain-core = "^0.3.29"
 
 [package.source]
 type = "directory"
@@ -2090,13 +2078,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
 
 [[package]]
 name = "langsmith"
-version = "0.2.3"
+version = "0.2.10"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "langsmith-0.2.10-py3-none-any.whl", hash = "sha256:b02f2f174189ff72e54c88b1aa63343defd6f0f676c396a690c63a4b6495dcc2"},
+    {file = "langsmith-0.2.10.tar.gz", hash = "sha256:153c7b3ccbd823528ff5bec84801e7e50a164e388919fc583252df5b27dd7830"},
 ]
 
 [package.dependencies]
@@ -2110,6 +2098,7 @@ requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
 
 [package.extras]
+compression = ["zstandard (>=0.23.0,<0.24.0)"]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
 
 [[package]]
@@ -2215,15 +2204,18 @@ traitlets = "*"
 
 [[package]]
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-version = "3.0.2"
+version = "3.1.0"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "multidict"
 version = "6.1.0"
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 ]
 
 [package.dependencies]
-mypy-extensions = ">=1.0.0"
+mypy_extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=4.6.0"
+typing_extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
@@ -2409,13 +2407,13 @@ types-protobuf = ">=4.24"
 
 [[package]]
 name = "nbclient"
-version = "0.10.1"
+version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2426,23 +2424,23 @@ traitlets = ">=5.4"
 
 [package.extras]
 dev = ["pre-commit"]
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+docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"]
+test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.16.4"
+version = "7.16.5"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
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+greenlet = {version = "!=0.4.17", markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -4282,13 +4290,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "syrupy"
-version = "4.8.0"
+version = "4.8.1"
 description = "Pytest Snapshot Test Utility"
 optional = false
 python-versions = ">=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -4505,13 +4513,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "types-cffi"
-version = "1.16.0.20240331"
+version = "1.16.0.20241221"
 description = "Typing stubs for cffi"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4578,13 +4586,13 @@ files = [
 
 [[package]]
 name = "types-pyyaml"
-version = "6.0.12.20240917"
+version = "6.0.12.20241230"
 description = "Typing stubs for PyYAML"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -4602,6 +4610,20 @@ files = [
 cryptography = ">=35.0.0"
 types-pyOpenSSL = "*"
 
+[[package]]
+name = "types-requests"
+version = "2.31.0.6"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
+[package.dependencies]
+types-urllib3 = "*"
+
 [[package]]
 name = "types-requests"
 version = "2.32.0.20241016"
@@ -4618,13 +4640,13 @@ urllib3 = ">=2"
 
 [[package]]
 name = "types-setuptools"
-version = "75.6.0.20241126"
+version = "75.8.0.20250110"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -4638,6 +4660,17 @@ files = [
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 ]
 
+[[package]]
+name = "types-urllib3"
+version = "1.26.25.14"
+description = "Typing stubs for urllib3"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.12.2"
@@ -4676,52 +4709,54 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "1.26.20"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
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-h2 = ["h2 (>=4,<5)"]
-socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
-zstd = ["zstandard (>=0.18.0)"]
+brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
-name = "vcrpy"
-version = "4.3.0"
-description = "Automatically mock your HTTP interactions to simplify and speed up testing"
+name = "urllib3"
+version = "2.3.0"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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-[package.dependencies]
-PyYAML = "*"
-six = ">=1.5"
-wrapt = "*"
-yarl = "*"
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "vcrpy"
-version = "6.0.2"
+version = "7.0.0"
 description = "Automatically mock your HTTP interactions to simplify and speed up testing"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 PyYAML = "*"
-urllib3 = {version = "*", markers = "platform_python_implementation != \"PyPy\" and python_version >= \"3.10\""}
+urllib3 = [
+    {version = "<2", markers = "python_version < \"3.10\" or platform_python_implementation == \"PyPy\""},
+    {version = "*", markers = "platform_python_implementation != \"PyPy\" and python_version >= \"3.10\""},
+]
 wrapt = "*"
 yarl = "*"
 
@@ -4832,76 +4867,83 @@ files = [
 
 [[package]]
 name = "wrapt"
-version = "1.17.0"
+version = "1.17.1"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -5022,4 +5064,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "8263b9b9697f3251c51de95c653f97704713cef0c14dbc4f537dbdc8a901fd12"
+content-hash = "a9da35c5ac19fca96f6dc32551651586c017f0870b9659cfdb8634d6da0a07a8"
diff --git a/libs/langchain/pyproject.toml b/libs/langchain/pyproject.toml
index e0e2d5326ce97..da3face1d1d43 100644
--- a/libs/langchain/pyproject.toml
+++ b/libs/langchain/pyproject.toml
@@ -1,5 +1,5 @@
 [build-system]
-requires = [ "poetry-core>=1.0.0",]
+requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
@@ -12,12 +12,12 @@ readme = "README.md"
 repository = "https://github.com/langchain-ai/langchain"
 
 [tool.ruff]
-exclude = [ "tests/integration_tests/examples/non-utf8-encoding.py",]
+exclude = ["tests/integration_tests/examples/non-utf8-encoding.py"]
 
 [tool.mypy]
 ignore_missing_imports = "True"
 disallow_untyped_defs = "True"
-exclude = [ "notebooks", "examples", "example_data",]
+exclude = ["notebooks", "examples", "example_data"]
 
 [tool.codespell]
 skip = ".git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,example_data,_dist,examples,*.trig"
@@ -42,25 +42,26 @@ requests = "^2"
 PyYAML = ">=5.3"
 aiohttp = "^3.8.3"
 tenacity = ">=8.1.0,!=8.4.0,<10"
-[[tool.poetry.dependencies.numpy]]
-version = ">=1.22.4,<2"
-python = "<3.12"
-
-[[tool.poetry.dependencies.numpy]]
-version = ">=1.26.2,<3"
-python = ">=3.12"
 
 [tool.ruff.lint]
-select = [ "E", "F", "I", "T201",]
+select = ["E", "F", "I", "T201"]
 
 [tool.coverage.run]
-omit = [ "tests/*",]
+omit = ["tests/*"]
 
 [tool.pytest.ini_options]
 addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
-markers = [ "requires: mark tests as requiring a specific library", "scheduled: mark tests to run in scheduled testing", "compile: mark placeholder test used to compile integration tests without running them",]
+markers = [
+    "requires: mark tests as requiring a specific library",
+    "scheduled: mark tests to run in scheduled testing",
+    "compile: mark placeholder test used to compile integration tests without running them",
+]
 asyncio_mode = "auto"
-filterwarnings = [ "ignore::langchain_core._api.beta_decorator.LangChainBetaWarning", "ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:tests", "ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:tests",]
+filterwarnings = [
+    "ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
+    "ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:tests",
+    "ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:tests",
+]
 
 [tool.poetry.dependencies.async-timeout]
 version = "^4.0.0"
@@ -138,11 +139,29 @@ types-pytz = "^2023.3.0.0"
 types-chardet = "^5.0.4.6"
 mypy-protobuf = "^3.0.0"
 
+
+[[tool.poetry.group.typing.dependencies.numpy]]
+version = ">=1.22.4,<2"
+python = "<3.12"
+
+[[tool.poetry.group.typing.dependencies.numpy]]
+version = ">=1.26.2,<3"
+python = ">=3.12"
+
 [tool.poetry.group.dev.dependencies]
 jupyter = "^1.0.0"
 playwright = "^1.28.0"
 setuptools = "^67.6.1"
 
+
+[[tool.poetry.group.test.dependencies.numpy]]
+version = ">=1.22.4,<2"
+python = "<3.12"
+
+[[tool.poetry.group.test.dependencies.numpy]]
+version = ">=1.26.2,<3"
+python = ">=3.12"
+
 [tool.poetry.group.test.dependencies.langchain-tests]
 path = "../standard-tests"
 develop = true
diff --git a/libs/langchain/tests/unit_tests/test_dependencies.py b/libs/langchain/tests/unit_tests/test_dependencies.py
index 285daa620173f..7f5dd8d4e255d 100644
--- a/libs/langchain/tests/unit_tests/test_dependencies.py
+++ b/libs/langchain/tests/unit_tests/test_dependencies.py
@@ -46,7 +46,6 @@ def test_required_dependencies(poetry_conf: Mapping[str, Any]) -> None:
             "langchain-core",
             "langchain-text-splitters",
             "langsmith",
-            "numpy",
             "pydantic",
             "python",
             "requests",
@@ -97,5 +96,6 @@ def test_test_group_dependencies(poetry_conf: Mapping[str, Any]) -> None:
             "requests-mock",
             # TODO: temporary hack since cffi 1.17.1 doesn't work with py 3.9.
             "cffi",
+            "numpy",
         ]
     )