diff --git a/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py b/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py
index 1e13bff..28018dc 100644
--- a/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py
+++ b/libs/ai-endpoints/langchain_nvidia_ai_endpoints/chat_models.py
@@ -29,6 +29,7 @@
 )
 from langchain_core.exceptions import OutputParserException
 from langchain_core.language_models import BaseChatModel, LanguageModelInput
+from langchain_core.language_models.chat_models import LangSmithParams
 from langchain_core.messages import (
     AIMessage,
     AIMessageChunk,
@@ -342,6 +343,28 @@ def _llm_type(self) -> str:
         """Return type of NVIDIA AI Foundation Model Interface."""
         return "chat-nvidia-ai-playground"
 
+    def _get_ls_params(
+        self,
+        stop: Optional[List[str]] = None,
+        **kwargs: Any,
+    ) -> LangSmithParams:
+        """Get standard LangSmith parameters for tracing."""
+        params = self._get_invocation_params(stop=stop, **kwargs)
+        return LangSmithParams(
+            ls_provider="NVIDIA",
+            # error: Incompatible types (expression has type "Optional[str]",
+            #  TypedDict item "ls_model_name" has type "str")  [typeddict-item]
+            ls_model_name=self.model or "UNKNOWN",
+            ls_model_type="chat",
+            ls_temperature=params.get("temperature", self.temperature),
+            ls_max_tokens=params.get("max_tokens", self.max_tokens),
+            # mypy error: Extra keys ("ls_top_p", "ls_seed")
+            #  for TypedDict "LangSmithParams"  [typeddict-item]
+            # ls_top_p=params.get("top_p", self.top_p),
+            # ls_seed=params.get("seed", self.seed),
+            ls_stop=params.get("stop", self.stop),
+        )
+
     def _generate(
         self,
         messages: List[BaseMessage],
diff --git a/libs/ai-endpoints/poetry.lock b/libs/ai-endpoints/poetry.lock
index 9eae9e8..a01a193 100644
--- a/libs/ai-endpoints/poetry.lock
+++ b/libs/ai-endpoints/poetry.lock
@@ -150,13 +150,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.5.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
+    {file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
 ]
 
 [package.dependencies]
@@ -166,9 +166,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "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", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+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", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "async-timeout"
@@ -598,18 +598,40 @@ typing-extensions = ">=4.7"
 type = "git"
 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
-resolved_reference = "84b831356c5e67ca2defdeb4c839d189a7c51a41"
+resolved_reference = "eef18dec442eabb2c2532bd67cc2efa12a43d406"
 subdirectory = "libs/core"
 
+[[package]]
+name = "langchain-standard-tests"
+version = "0.1.1"
+description = "Standard tests for LangChain implementations"
+optional = false
+python-versions = ">=3.9,<4.0"
+files = []
+develop = false
+
+[package.dependencies]
+httpx = "^0.27.0"
+langchain-core = "^0.3.0"
+pytest = ">=7,<9"
+syrupy = "^4"
+
+[package.source]
+type = "git"
+url = "https://github.com/langchain-ai/langchain.git"
+reference = "HEAD"
+resolved_reference = "eef18dec442eabb2c2532bd67cc2efa12a43d406"
+subdirectory = "libs/standard-tests"
+
 [[package]]
 name = "langsmith"
-version = "0.1.122"
+version = "0.1.123"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.122-py3-none-any.whl", hash = "sha256:9c9cde442d7321e8557f5c45c14b1b643b8aa28acc3f844d3a0021a9571aad7c"},
-    {file = "langsmith-0.1.122.tar.gz", hash = "sha256:56dff727ca529fe8df300e6e4759dc920efe10ab8cd602b4d6b51e33599214e6"},
+    {file = "langsmith-0.1.123-py3-none-any.whl", hash = "sha256:ee30c96e69038af92487c6229870b9ccc1fba43eb1b84fb4132a013af7212c6e"},
+    {file = "langsmith-0.1.123.tar.gz", hash = "sha256:5d4ad7bb57351f0fc492debf2d7d0b96f2eed41b5545cd36f3043c5f4d42aa6b"},
 ]
 
 [package.dependencies]
@@ -1576,4 +1598,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "fd55cec7f60515783c4b8f1cfcb696c8cd241979ac2f50323ba568a7ae2de039"
+content-hash = "7a08e2786a8b70e328e92fbf014c8910fb64c0c55476c0dd050d61ffa636a4e5"
diff --git a/libs/ai-endpoints/pyproject.toml b/libs/ai-endpoints/pyproject.toml
index 73d0d0e..94e0bef 100644
--- a/libs/ai-endpoints/pyproject.toml
+++ b/libs/ai-endpoints/pyproject.toml
@@ -28,6 +28,7 @@ pytest-watcher = "^0.3.4"
 pytest-asyncio = "^0.21.1"
 langchain-core = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core" }
 requests-mock = "^1.11.0"
+langchain-standard-tests = { git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/standard-tests" }
 faker = "^24.4.0"
 
 [tool.poetry.group.codespell]
diff --git a/libs/ai-endpoints/tests/integration_tests/test_standard.py b/libs/ai-endpoints/tests/integration_tests/test_standard.py
new file mode 100644
index 0000000..983124c
--- /dev/null
+++ b/libs/ai-endpoints/tests/integration_tests/test_standard.py
@@ -0,0 +1,23 @@
+"""Standard LangChain interface tests"""
+
+from typing import Type
+
+import pytest
+from langchain_core.language_models import BaseChatModel
+from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+
+from langchain_nvidia_ai_endpoints import ChatNVIDIA
+
+
+class TestNVIDIAStandard(ChatModelIntegrationTests):
+    @property
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return ChatNVIDIA
+
+    @property
+    def chat_model_params(self) -> dict:
+        return {"model": "meta/llama-3.1-8b-instruct"}
+
+    @pytest.mark.xfail(reason="anthropic-style list content not supported")
+    def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None:
+        return super().test_tool_message_histories_list_content(model)
diff --git a/libs/ai-endpoints/tests/unit_tests/test_standard.py b/libs/ai-endpoints/tests/unit_tests/test_standard.py
new file mode 100644
index 0000000..a08cae2
--- /dev/null
+++ b/libs/ai-endpoints/tests/unit_tests/test_standard.py
@@ -0,0 +1,18 @@
+"""Standard LangChain interface tests"""
+
+from typing import Type
+
+from langchain_core.language_models import BaseChatModel
+from langchain_standard_tests.unit_tests import ChatModelUnitTests
+
+from langchain_nvidia_ai_endpoints import ChatNVIDIA
+
+
+class TestNVIDIAStandard(ChatModelUnitTests):
+    @property
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return ChatNVIDIA
+
+    @property
+    def chat_model_params(self) -> dict:
+        return {"model": "meta/llama-3.1-8b-instruct"}