diff --git a/libs/vertexai/langchain_google_vertexai/chat_models.py b/libs/vertexai/langchain_google_vertexai/chat_models.py
index 8712c720..75b5d92e 100644
--- a/libs/vertexai/langchain_google_vertexai/chat_models.py
+++ b/libs/vertexai/langchain_google_vertexai/chat_models.py
@@ -64,6 +64,7 @@
 from langchain_core.pydantic_v1 import BaseModel, root_validator, Field
 from langchain_core.runnables import Runnable, RunnablePassthrough, RunnableGenerator
 from langchain_core.utils.function_calling import convert_to_openai_tool
+from langchain_core.utils.pydantic import is_basemodel_subclass
 from vertexai.generative_models import (  # type: ignore
     Tool as VertexTool,
 )
@@ -1674,7 +1675,7 @@ class AnswerWithJustification(BaseModel):
         """  # noqa: E501
         if kwargs:
             raise ValueError(f"Received unsupported arguments {kwargs}")
-        if isinstance(schema, type) and issubclass(schema, BaseModel):
+        if isinstance(schema, type) and is_basemodel_subclass(schema):
             parser: OutputParserLike = PydanticToolsParser(
                 tools=[schema], first_tool_only=True
             )
diff --git a/libs/vertexai/poetry.lock b/libs/vertexai/poetry.lock
index acd9e71f..877052ac 100644
--- a/libs/vertexai/poetry.lock
+++ b/libs/vertexai/poetry.lock
@@ -1,91 +1,103 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.2"
+description = "Happy Eyeballs"
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
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+    {file = "aiohappyeyeballs-2.3.2.tar.gz", hash = "sha256:77e15a733090547a1f5369a1287ddfc944bd30df0eb8993f585259c34b405f4e"},
+]
 
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 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -94,7 +106,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -126,13 +138,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anthropic"
-version = "0.31.2"
+version = "0.32.0"
 description = "The official Python library for the anthropic API"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -574,13 +586,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.137.0"
+version = "2.139.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -630,13 +642,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.59.0"
+version = "1.60.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -658,8 +670,8 @@ cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.65.1)"]
+protobuf = ["grpcio-tools (>=1.65.2)"]
 
 [[package]]
 name = "grpcio-status"
@@ -1137,13 +1150,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.24.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 [package.dependencies]
@@ -1156,17 +1169,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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-torch = ["safetensors", "torch"]
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 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -1288,7 +1301,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.9"
+version = "0.2.11"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -1298,7 +1311,7 @@ develop = false
 [package.dependencies]
 aiohttp = "^3.8.3"
 async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
-langchain-core = "^0.2.20"
+langchain-core = "^0.2.23"
 langchain-text-splitters = "^0.2.0"
 langsmith = "^0.1.17"
 numpy = [
@@ -1315,12 +1328,12 @@ tenacity = "^8.1.0,!=8.4.0"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0dec72cab08cad712a6916368dc37c70faefb7a0"
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 subdirectory = "libs/langchain"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.21"
+version = "0.2.25"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
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 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0dec72cab08cad712a6916368dc37c70faefb7a0"
+resolved_reference = "99eb31ec4121e146e007ea584b2d5f4aff2a4337"
 subdirectory = "libs/core"
 
 [[package]]
@@ -1363,7 +1376,7 @@ pytest = ">=7,<9"
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 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "0dec72cab08cad712a6916368dc37c70faefb7a0"
+resolved_reference = "99eb31ec4121e146e007ea584b2d5f4aff2a4337"
 subdirectory = "libs/standard-tests"
 
 [[package]]
@@ -1382,13 +1395,13 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
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-version = "0.1.90"
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+    {file = "mypy-1.11.1-py3-none-any.whl", hash = "sha256:0624bdb940255d2dd24e829d99a13cfeb72e4e9031f9492148f410ed30bcab54"},
+    {file = "mypy-1.11.1.tar.gz", hash = "sha256:f404a0b069709f18bbdb702eb3dcfe51910602995de00bd39cea3050b5772d08"},
 ]
 
 [package.dependencies]
 mypy-extensions = ">=1.0.0"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=4.1.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
@@ -1826,22 +1839,22 @@ testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "4.25.3"
+version = "4.25.4"
 description = ""
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "protobuf-4.25.3-cp310-abi3-win_amd64.whl", hash = "sha256:209ba4cc916bab46f64e56b85b090607a676f66b473e6b762e6f1d9d591eb2e8"},
-    {file = "protobuf-4.25.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:f1279ab38ecbfae7e456a108c5c0681e4956d5b1090027c1de0f934dfdb4b35c"},
-    {file = "protobuf-4.25.3-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:e7cb0ae90dd83727f0c0718634ed56837bfeeee29a5f82a7514c03ee1364c019"},
-    {file = "protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:7c8daa26095f82482307bc717364e7c13f4f1c99659be82890dcfc215194554d"},
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-    {file = "protobuf-4.25.3-cp38-cp38-win_amd64.whl", hash = "sha256:c053062984e61144385022e53678fbded7aea14ebb3e0305ae3592fb219ccfa4"},
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-    {file = "protobuf-4.25.3.tar.gz", hash = "sha256:25b5d0b42fd000320bd7830b349e3b696435f3b329810427a6bcce6a5492cc5c"},
+    {file = "protobuf-4.25.4-cp310-abi3-win32.whl", hash = "sha256:db9fd45183e1a67722cafa5c1da3e85c6492a5383f127c86c4c4aa4845867dc4"},
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+    {file = "protobuf-4.25.4-cp38-cp38-win_amd64.whl", hash = "sha256:051e97ce9fa6067a4546e75cb14f90cf0232dcb3e3d508c448b8d0e4265b61c1"},
+    {file = "protobuf-4.25.4-cp39-cp39-win32.whl", hash = "sha256:90bf6fd378494eb698805bbbe7afe6c5d12c8e17fca817a646cd6a1818c696ca"},
+    {file = "protobuf-4.25.4-cp39-cp39-win_amd64.whl", hash = "sha256:ac79a48d6b99dfed2729ccccee547b34a1d3d63289c71cef056653a846a2240f"},
+    {file = "protobuf-4.25.4-py3-none-any.whl", hash = "sha256:bfbebc1c8e4793cfd58589acfb8a1026be0003e852b9da7db5a4285bde996978"},
+    {file = "protobuf-4.25.4.tar.gz", hash = "sha256:0dc4a62cc4052a036ee2204d26fe4d835c62827c855c8a03f29fe6da146b380d"},
 ]
 
 [[package]]
@@ -2117,6 +2130,7 @@ files = [
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
     {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
     {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
     {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -2778,4 +2792,4 @@ anthropic = ["anthropic"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "1c8363d9edec137e7d539dcc0a4a75526d50236a00fd677aa322de7f5157445d"
+content-hash = "d468433d4398178504bf31b357a04f9260505e093801f875cf9fe6bb44cb9cc6"
diff --git a/libs/vertexai/pyproject.toml b/libs/vertexai/pyproject.toml
index 0ad02f3c..9791aa48 100644
--- a/libs/vertexai/pyproject.toml
+++ b/libs/vertexai/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-vertexai"
-version = "1.0.7"
+version = "1.0.8"
 description = "An integration package connecting Google VertexAI and LangChain"
 authors = []
 readme = "README.md"
@@ -12,7 +12,7 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-langchain-core = ">=0.2.17,<0.3"
+langchain-core = ">=0.2.25,<0.3"
 google-cloud-aiplatform = "^1.56.0"
 google-cloud-storage = "^2.17.0"
 # optional dependencies
diff --git a/libs/vertexai/tests/integration_tests/test_standard.py b/libs/vertexai/tests/integration_tests/test_standard.py
index af8ed3b8..7469c9eb 100644
--- a/libs/vertexai/tests/integration_tests/test_standard.py
+++ b/libs/vertexai/tests/integration_tests/test_standard.py
@@ -1,12 +1,10 @@
 """Standard LangChain interface tests"""
 
-import json
 from typing import Type
 
+import pytest
 from langchain_core.language_models import BaseChatModel
-from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
 from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
-from langchain_standard_tests.unit_tests.chat_models import my_adder_tool
 
 from langchain_google_vertexai import ChatVertexAI
 
@@ -20,39 +18,9 @@ def chat_model_class(self) -> Type[BaseChatModel]:
     def chat_model_params(self) -> dict:
         return {"model_name": "gemini-1.0-pro-001"}
 
+    @pytest.mark.xfail(reason="Gemini 1.0 doesn't support tool_choice='any'")
     def test_structured_few_shot_examples(self, model: BaseChatModel) -> None:
-        # parent implementation uses tool_choice='any':
-        # model_with_tools = model.bind_tools([my_adder_tool], tool_choice="any")
-
-        # gemini 1 doesn't support tool_choice="any":
-        model_with_tools = model.bind_tools([my_adder_tool])
-
-        function_name = "my_adder_tool"
-        function_args = {"a": 1, "b": 2}
-        function_result = json.dumps({"result": 3})
-
-        messages_string_content = [
-            HumanMessage(content="What is 1 + 2"),
-            AIMessage(
-                content="",
-                tool_calls=[
-                    {
-                        "name": function_name,
-                        "args": function_args,
-                        "id": "abc123",
-                    },
-                ],
-            ),
-            ToolMessage(
-                content=function_result,
-                name=function_name,
-                tool_call_id="abc123",
-            ),
-            AIMessage(content=function_result),
-            HumanMessage(content="What is 3 + 4"),
-        ]
-        result_string_content = model_with_tools.invoke(messages_string_content)
-        assert isinstance(result_string_content, AIMessage)
+        super().test_structured_few_shot_examples(model)
 
 
 class TestGemini_15_AIStandard(ChatModelIntegrationTests):