diff --git a/libs/partners/google-genai/langchain_google_genai/chat_models.py b/libs/partners/google-genai/langchain_google_genai/chat_models.py
index d30990c5b6e..426d279aa01 100644
--- a/libs/partners/google-genai/langchain_google_genai/chat_models.py
+++ b/libs/partners/google-genai/langchain_google_genai/chat_models.py
@@ -26,6 +26,7 @@ import google.api_core
 # TODO: remove ignore once the google package is published with types
 import google.generativeai as genai  # type: ignore[import]
 import requests
+from google.ai.generativelanguage_v1beta import FunctionCall
 from langchain_core.callbacks.manager import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -341,16 +342,90 @@ llm = ChatGoogleGenerativeAI(model="gemini-pro", convert_system_message_to_human
     return messages
 
 
+def _retrieve_function_call_response(
+    parts: List[genai.types.PartType],
+) -> Optional[Dict]:
+    for idx, part in enumerate(parts):
+        if part.function_call and part.function_call.name:
+            fc: FunctionCall = part.function_call
+            return {
+                "function_call": {
+                    "name": fc.name,
+                    "arguments": dict(fc.args.items()),
+                }
+            }
+    return None
+
+
+def _convert_function_call_req(function_calls: Union[Dict, List[Dict]]) -> Dict:
+    function_declarations = []
+    if isinstance(function_calls, dict):
+        function_declarations.append(_convert_fc_type(function_calls))
+    else:
+        for fc in function_calls:
+            function_declarations.append(_convert_fc_type(fc))
+    return {
+        "function_declarations": function_declarations,
+    }
+
+
+def _convert_fc_type(fc: Dict) -> Dict:
+    # type_: "Type"
+    # format_: str
+    # description: str
+    # nullable: bool
+    # enum: MutableSequence[str]
+    # items: "Schema"
+    # properties: MutableMapping[str, "Schema"]
+    # required: MutableSequence[str]
+    if "parameters" in fc:
+        fc["parameters"] = _convert_fc_type(fc["parameters"])
+    if "properties" in fc:
+        for k, v in fc["properties"].items():
+            fc["properties"][k] = _convert_fc_type(v)
+    if "type" in fc:
+        # STRING = 1
+        # NUMBER = 2
+        # INTEGER = 3
+        # BOOLEAN = 4
+        # ARRAY = 5
+        # OBJECT = 6
+        if fc["type"] == "string":
+            fc["type_"] = 1
+        elif fc["type"] == "number":
+            fc["type_"] = 2
+        elif fc["type"] == "integer":
+            fc["type_"] = 3
+        elif fc["type"] == "boolean":
+            fc["type_"] = 4
+        elif fc["type"] == "array":
+            fc["type_"] = 5
+        elif fc["type"] == "object":
+            fc["type_"] = 6
+        del fc["type"]
+    if "format" in fc:
+        fc["format_"] = fc["format"]
+        del fc["format"]
+
+    for k, v in fc.items():
+        if isinstance(v, dict):
+            fc[k] = _convert_fc_type(v)
+
+    return fc
+
+
 def _parts_to_content(
     parts: List[genai.types.PartType],
-) -> Union[str, List[Union[Dict[Any, Any], str]]]:
+) -> Tuple[Union[str, List[Union[Dict[Any, Any], str]]], Optional[Dict]]:
     """Converts a list of Gemini API Part objects into a list of LangChain messages."""
+    function_call_resp = _retrieve_function_call_response(parts)
+
     if len(parts) == 1 and parts[0].text is not None and not parts[0].inline_data:
         # Simple text response. The typical response
-        return parts[0].text
+        return parts[0].text, function_call_resp
     elif not parts:
         logger.warning("Gemini produced an empty response.")
-        return ""
+        return "", function_call_resp
     messages: List[Union[Dict[Any, Any], str]] = []
     for part in parts:
         if part.text is not None:
@@ -363,7 +438,7 @@ def _parts_to_content(
         else:
             # TODO: Handle inline_data if that's a thing?
             raise ChatGoogleGenerativeAIError(f"Unexpected part type. {part}")
-    return messages
+    return messages, function_call_resp
 
 
 def _response_to_result(
@@ -390,16 +465,24 @@ def _response_to_result(
         "model": ai_msg_t,
         "user": human_msg_t,
     }
+
     for candidate in response.candidates:
         content = candidate.content
-        parts_content = _parts_to_content(content.parts)
+        parts_content, additional_kwargs = _parts_to_content(content.parts)
         if content.role not in role_map:
             logger.warning(
                 f"Unrecognized role: {content.role}. Treating as a ChatMessage."
             )
-            msg = chat_msg_t(content=parts_content, role=content.role)
+            msg = chat_msg_t(
+                content=parts_content,
+                role=content.role,
+                additional_kwargs=additional_kwargs or {},
+            )
         else:
-            msg = role_map[content.role](content=parts_content)
+            msg = role_map[content.role](
+                content=parts_content,
+                additional_kwargs=additional_kwargs or {},
+            )
         generation_info = {}
         if candidate.finish_reason:
             generation_info["finish_reason"] = candidate.finish_reason.name
@@ -527,7 +610,11 @@ class ChatGoogleGenerativeAI(_BaseGoogleGenerativeAI, BaseChatModel):
         run_manager: Optional[CallbackManagerForLLMRun] = None,
         **kwargs: Any,
     ) -> ChatResult:
-        params, chat, message = self._prepare_chat(messages, stop=stop)
+        params, chat, message = self._prepare_chat(
+            messages,
+            stop=stop,
+            functions=kwargs.get("functions"),
+        )
         response: genai.types.GenerateContentResponse = _chat_with_retry(
             content=message,
             **params,
@@ -542,7 +629,11 @@ class ChatGoogleGenerativeAI(_BaseGoogleGenerativeAI, BaseChatModel):
         run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
         **kwargs: Any,
     ) -> ChatResult:
-        params, chat, message = self._prepare_chat(messages, stop=stop)
+        params, chat, message = self._prepare_chat(
+            messages,
+            stop=stop,
+            functions=kwargs.get("functions"),
+        )
         response: genai.types.GenerateContentResponse = await _achat_with_retry(
             content=message,
             **params,
@@ -557,7 +648,11 @@ class ChatGoogleGenerativeAI(_BaseGoogleGenerativeAI, BaseChatModel):
         run_manager: Optional[CallbackManagerForLLMRun] = None,
         **kwargs: Any,
     ) -> Iterator[ChatGenerationChunk]:
-        params, chat, message = self._prepare_chat(messages, stop=stop)
+        params, chat, message = self._prepare_chat(
+            messages,
+            stop=stop,
+            functions=kwargs.get("functions"),
+        )
         response: genai.types.GenerateContentResponse = _chat_with_retry(
             content=message,
             **params,
@@ -584,7 +679,11 @@ class ChatGoogleGenerativeAI(_BaseGoogleGenerativeAI, BaseChatModel):
         run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
         **kwargs: Any,
     ) -> AsyncIterator[ChatGenerationChunk]:
-        params, chat, message = self._prepare_chat(messages, stop=stop)
+        params, chat, message = self._prepare_chat(
+            messages,
+            stop=stop,
+            functions=kwargs.get("functions"),
+        )
         async for chunk in await _achat_with_retry(
             content=message,
             **params,
@@ -609,13 +708,19 @@ class ChatGoogleGenerativeAI(_BaseGoogleGenerativeAI, BaseChatModel):
         stop: Optional[List[str]] = None,
         **kwargs: Any,
     ) -> Tuple[Dict[str, Any], genai.ChatSession, genai.types.ContentDict]:
+        cli = self.client
+        functions = kwargs.pop("functions", None)
+        if functions:
+            tools = _convert_function_call_req(functions)
+            cli = genai.GenerativeModel(model_name=self.model, tools=tools)
+
         params = self._prepare_params(stop, **kwargs)
         history = _parse_chat_history(
             messages,
             convert_system_message_to_human=self.convert_system_message_to_human,
         )
         message = history.pop()
-        chat = self.client.start_chat(history=history)
+        chat = cli.start_chat(history=history)
         return params, chat, message
 
     def get_num_tokens(self, text: str) -> int:
diff --git a/libs/partners/google-genai/poetry.lock b/libs/partners/google-genai/poetry.lock
index edddadcb57d..dc37a3fc067 100644
--- a/libs/partners/google-genai/poetry.lock
+++ b/libs/partners/google-genai/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -13,19 +13,20 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.1.0"
+version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"},
-    {file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"},
+    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 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"]
@@ -45,13 +46,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -197,13 +198,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "freezegun"
-version = "1.3.1"
+version = "1.4.0"
 description = "Let your Python tests travel through time"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "freezegun-1.3.1-py3-none-any.whl", hash = "sha256:065e77a12624d05531afa87ade12a0b9bdb53495c4573893252a055b545ce3ea"},
-    {file = "freezegun-1.3.1.tar.gz", hash = "sha256:48984397b3b58ef5dfc645d6a304b0060f612bcecfdaaf45ce8aff0077a6cb6a"},
+    {file = "freezegun-1.4.0-py3-none-any.whl", hash = "sha256:55e0fc3c84ebf0a96a5aa23ff8b53d70246479e9a68863f1fcac5a3e52f19dd6"},
+    {file = "freezegun-1.4.0.tar.gz", hash = "sha256:10939b0ba0ff5adaecf3b06a5c2f73071d9678e507c5eaedb23c761d56ac774b"},
 ]
 
 [package.dependencies]
@@ -227,13 +228,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 
 [[package]]
 name = "google-api-core"
-version = "2.15.0"
+version = "2.16.2"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-core-2.15.0.tar.gz", hash = "sha256:abc978a72658f14a2df1e5e12532effe40f94f868f6e23d95133bd6abcca35ca"},
-    {file = "google_api_core-2.15.0-py3-none-any.whl", hash = "sha256:2aa56d2be495551e66bbff7f729b790546f87d5c90e74781aa77233bcb395a8a"},
+    {file = "google-api-core-2.16.2.tar.gz", hash = "sha256:032d37b45d1d6bdaf68fb11ff621e2593263a239fa9246e2e94325f9c47876d2"},
+    {file = "google_api_core-2.16.2-py3-none-any.whl", hash = "sha256:449ca0e3f14c179b4165b664256066c7861610f70b6ffe54bb01a04e9b466929"},
 ]
 
 [package.dependencies]
@@ -257,13 +258,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.25.2"
+version = "2.27.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.25.2.tar.gz", hash = "sha256:42f707937feb4f5e5a39e6c4f343a17300a459aaf03141457ba505812841cc40"},
-    {file = "google_auth-2.25.2-py2.py3-none-any.whl", hash = "sha256:473a8dfd0135f75bb79d878436e568f2695dce456764bf3a02b6f8c540b1d256"},
+    {file = "google-auth-2.27.0.tar.gz", hash = "sha256:e863a56ccc2d8efa83df7a80272601e43487fa9a728a376205c86c26aaefa821"},
+    {file = "google_auth-2.27.0-py2.py3-none-any.whl", hash = "sha256:8e4bad367015430ff253fe49d500fdc3396c1a434db5740828c728e45bcce245"},
 ]
 
 [package.dependencies]
@@ -318,84 +319,84 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "grpcio"
-version = "1.60.0"
+version = "1.60.1"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.60.0)"]
+protobuf = ["grpcio-tools (>=1.60.1)"]
 
 [[package]]
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-version = "1.60.0"
+version = "1.60.1"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
 files = [
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 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.60.0"
+grpcio = ">=1.60.1"
 protobuf = ">=4.21.6"
 
 [[package]]
@@ -447,7 +448,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.1.0"
+version = "0.1.19"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -457,7 +458,7 @@ develop = true
 [package.dependencies]
 anyio = ">=3,<5"
 jsonpatch = "^1.33"
-langsmith = "~0.0.63"
+langsmith = ">=0.0.83,<0.1"
 packaging = "^23.2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -473,13 +474,13 @@ url = "../../core"
 
 [[package]]
 name = "langsmith"
-version = "0.0.69"
+version = "0.0.87"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
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 ]
 
 [package.dependencies]
@@ -549,47 +550,47 @@ files = [
 
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 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
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 [[package]]
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 python-versions = ">=3.7.0,<4.0.0"
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 ]
 
 [[package]]
@@ -1113,17 +1107,17 @@ files = [
 
 [[package]]
 name = "syrupy"
-version = "4.6.0"
+version = "4.6.1"
 description = "Pytest Snapshot Test Utility"
 optional = false
 python-versions = ">=3.8.1,<4"
 files = [
-    {file = "syrupy-4.6.0-py3-none-any.whl", hash = "sha256:747aae1bcf3cb3249e33b1e6d81097874d23615982d5686ebe637875b0775a1b"},
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+    {file = "syrupy-4.6.1.tar.gz", hash = "sha256:37a835c9ce7857eeef86d62145885e10b3cb9615bc6abeb4ce404b3f18e1bb36"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0,<8.0.0"
+pytest = ">=7.0.0,<9.0.0"
 
 [[package]]
 name = "tenacity"
@@ -1172,35 +1166,35 @@ telegram = ["requests"]
 
 [[package]]
 name = "types-google-cloud-ndb"
-version = "2.2.0.1"
+version = "2.2.0.20240205"
 description = "Typing stubs for google-cloud-ndb"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "types-pillow"
-version = "10.1.0.2"
+version = "10.2.0.20240206"
 description = "Typing stubs for Pillow"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "types-requests"
-version = "2.31.0.10"
+version = "2.31.0.20240125"
 description = "Typing stubs for requests"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.31.0.10.tar.gz", hash = "sha256:dc5852a76f1eaf60eafa81a2e50aefa3d1f015c34cf0cba130930866b1b22a92"},
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+    {file = "types-requests-2.31.0.20240125.tar.gz", hash = "sha256:03a28ce1d7cd54199148e043b2079cdded22d6795d19a2c2a6791a4b2b5e2eb5"},
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 ]
 
 [package.dependencies]
@@ -1219,54 +1213,57 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.1.0"
+version = "2.2.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
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+    {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
+    {file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
 ]
 
 [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 = "watchdog"
-version = "3.0.0"
+version = "4.0.0"
 description = "Filesystem events monitoring"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "watchdog-4.0.0.tar.gz", hash = "sha256:e3e7065cbdabe6183ab82199d7a4f6b3ba0a438c5a512a68559846ccb76a78ec"},
 ]
 
 [package.extras]
diff --git a/libs/partners/google-genai/tests/integration_tests/test_function_call.py b/libs/partners/google-genai/tests/integration_tests/test_function_call.py
new file mode 100644
index 00000000000..7a45bdf6661
--- /dev/null
+++ b/libs/partners/google-genai/tests/integration_tests/test_function_call.py
@@ -0,0 +1,34 @@
+"""Test ChatGoogleGenerativeAI function call."""
+
+from langchain_google_genai.chat_models import (
+    ChatGoogleGenerativeAI,
+)
+
+
+def test_function_call() -> None:
+    functions = [
+        {
+            "name": "get_weather",
+            "description": "Determine weather in my location",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city and state e.g. San Francisco, CA",
+                    },
+                    "unit": {"type": "string", "enum": ["c", "f"]},
+                },
+                "required": ["location"],
+            },
+        }
+    ]
+    llm = ChatGoogleGenerativeAI(model="gemini-pro").bind(functions=functions)
+    res = llm.invoke("what weather is today in san francisco?")
+    assert res
+    assert res.additional_kwargs
+    assert "function_call" in res.additional_kwargs
+    assert "get_weather" == res.additional_kwargs["function_call"]["name"]
+    arguments = res.additional_kwargs["function_call"]["arguments"]
+    assert isinstance(arguments, dict)
+    assert "location" in arguments