diff --git a/libs/langserve/langserve/client.py b/libs/langserve/langserve/client.py
index 994d7e27b6c77..d1d68a9202cf1 100644
--- a/libs/langserve/langserve/client.py
+++ b/libs/langserve/langserve/client.py
@@ -9,7 +9,6 @@
 import httpx
 from langchain.callbacks.tracers.log_stream import RunLogPatch
 from langchain.load.dump import dumpd
-from langchain.load.load import load, loads
 from langchain.schema.runnable import Runnable
 from langchain.schema.runnable.config import (
     RunnableConfig,
@@ -19,6 +18,8 @@
 )
 from langchain.schema.runnable.utils import Input, Output
 
+from langserve.serialization import simple_dumpd, simple_loads
+
 
 def _without_callbacks(config: Optional[RunnableConfig]) -> RunnableConfig:
     """Evict callbacks from the config since those are definitely not supported."""
@@ -111,6 +112,7 @@ def __init__(
         self.url = url
         self.sync_client = httpx.Client(base_url=url, timeout=timeout)
         self.async_client = httpx.AsyncClient(base_url=url, timeout=timeout)
+
         # Register cleanup handler once RemoteRunnable is garbage collected
         weakref.finalize(self, _close_clients, self.sync_client, self.async_client)
 
@@ -121,13 +123,13 @@ def _invoke(
         response = self.sync_client.post(
             "/invoke",
             json={
-                "input": dumpd(input),
+                "input": simple_dumpd(input),
                 "config": _without_callbacks(config),
                 "kwargs": kwargs,
             },
         )
         _raise_for_status(response)
-        return load(response.json())["output"]
+        return simple_loads(response.text)["output"]
 
     def invoke(
         self, input: Input, config: Optional[RunnableConfig] = None, **kwargs: Any
@@ -142,13 +144,13 @@ async def _ainvoke(
         response = await self.async_client.post(
             "/invoke",
             json={
-                "input": dumpd(input),
+                "input": simple_dumpd(input),
                 "config": _without_callbacks(config),
                 "kwargs": kwargs,
             },
         )
         _raise_for_status(response)
-        return load(response.json())["output"]
+        return simple_loads(response.text)["output"]
 
     async def ainvoke(
         self, input: Input, config: Optional[RunnableConfig] = None, **kwargs: Any
@@ -180,13 +182,13 @@ def _batch(
         response = self.sync_client.post(
             "/batch",
             json={
-                "inputs": dumpd(inputs),
+                "inputs": simple_dumpd(inputs),
                 "config": _config,
                 "kwargs": kwargs,
             },
         )
         _raise_for_status(response)
-        return load(response.json())["output"]
+        return simple_loads(response.text)["output"]
 
     def batch(
         self,
@@ -222,13 +224,13 @@ async def _abatch(
         response = await self.async_client.post(
             "/batch",
             json={
-                "inputs": dumpd(inputs),
+                "inputs": simple_dumpd(inputs),
                 "config": _config,
                 "kwargs": kwargs,
             },
         )
         _raise_for_status(response)
-        return load(response.json())["output"]
+        return simple_loads(response.text)["output"]
 
     async def abatch(
         self,
@@ -259,11 +261,11 @@ def stream(
 
         run_manager = callback_manager.on_chain_start(
             dumpd(self),
-            dumpd(input),
+            simple_dumpd(input),
             name=config.get("run_name"),
         )
         data = {
-            "input": dumpd(input),
+            "input": simple_dumpd(input),
             "config": _without_callbacks(config),
             "kwargs": kwargs,
         }
@@ -283,7 +285,7 @@ def stream(
             ) as event_source:
                 for sse in event_source.iter_sse():
                     if sse.event == "data":
-                        chunk = loads(sse.data)
+                        chunk = simple_loads(sse.data)
                         yield chunk
 
                         if final_output:
@@ -313,11 +315,11 @@ async def astream(
 
         run_manager = await callback_manager.on_chain_start(
             dumpd(self),
-            dumpd(input),
+            simple_dumpd(input),
             name=config.get("run_name"),
         )
         data = {
-            "input": dumpd(input),
+            "input": simple_dumpd(input),
             "config": _without_callbacks(config),
             "kwargs": kwargs,
         }
@@ -334,7 +336,7 @@ async def astream(
             ) as event_source:
                 async for sse in event_source.aiter_sse():
                     if sse.event == "data":
-                        chunk = loads(sse.data)
+                        chunk = simple_loads(sse.data)
                         yield chunk
 
                         if final_output:
@@ -383,11 +385,11 @@ async def astream_log(
 
         run_manager = await callback_manager.on_chain_start(
             dumpd(self),
-            dumpd(input),
+            simple_dumpd(input),
             name=config.get("run_name"),
         )
         data = {
-            "input": dumpd(input),
+            "input": simple_dumpd(input),
             "config": _without_callbacks(config),
             "kwargs": kwargs,
             "include_names": include_names,
@@ -410,7 +412,7 @@ async def astream_log(
             ) as event_source:
                 async for sse in event_source.aiter_sse():
                     if sse.event == "data":
-                        data = loads(sse.data)
+                        data = simple_loads(sse.data)
                         chunk = RunLogPatch(*data["ops"])
                         yield chunk
 
diff --git a/libs/langserve/langserve/serialization.py b/libs/langserve/langserve/serialization.py
new file mode 100644
index 0000000000000..1942db6878bc4
--- /dev/null
+++ b/libs/langserve/langserve/serialization.py
@@ -0,0 +1,94 @@
+"""Serialization module for Well Known LangChain objects.
+
+Specialized JSON serialization for well known LangChain objects that
+can be expected to be frequently transmitted between chains.
+"""
+import json
+from typing import Any, Union
+
+from langchain.prompts.base import StringPromptValue
+from langchain.prompts.chat import ChatPromptValueConcrete
+from langchain.schema.document import Document
+from langchain.schema.messages import (
+    AIMessage,
+    AIMessageChunk,
+    ChatMessage,
+    ChatMessageChunk,
+    FunctionMessage,
+    FunctionMessageChunk,
+    HumanMessage,
+    HumanMessageChunk,
+    SystemMessage,
+    SystemMessageChunk,
+)
+from pydantic import BaseModel, ValidationError
+
+
+class WellKnownLCObject(BaseModel):
+    """A well known LangChain object."""
+
+    __root__: Union[
+        Document,
+        HumanMessage,
+        SystemMessage,
+        ChatMessage,
+        FunctionMessage,
+        AIMessage,
+        HumanMessageChunk,
+        SystemMessageChunk,
+        ChatMessageChunk,
+        FunctionMessageChunk,
+        AIMessageChunk,
+        StringPromptValue,
+        ChatPromptValueConcrete,
+    ]
+
+
+# Custom JSON Encoder
+class _LangChainEncoder(json.JSONEncoder):
+    """Custom JSON Encoder that can encode pydantic objects as well."""
+
+    def default(self, obj) -> Any:
+        if isinstance(obj, BaseModel):
+            return obj.dict()
+        return super().default(obj)
+
+
+# Custom JSON Decoder
+class _LangChainDecoder(json.JSONDecoder):
+    """Custom JSON Decoder that handles well known LangChain objects."""
+
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        """Initialize the LangChainDecoder."""
+        super().__init__(object_hook=self.decoder, *args, **kwargs)
+
+    def decoder(self, value) -> Any:
+        """Decode the value."""
+        if isinstance(value, dict):
+            try:
+                obj = WellKnownLCObject.parse_obj(value)
+                return obj.__root__
+            except ValidationError:
+                return {key: self.decoder(v) for key, v in value.items()}
+        elif isinstance(value, list):
+            return [self.decoder(item) for item in value]
+        else:
+            return value
+
+
+# PUBLIC API
+
+
+def simple_dumpd(obj: Any) -> Any:
+    """Convert the given object to a JSON serializable object."""
+    return json.loads(json.dumps(obj, cls=_LangChainEncoder))
+
+
+def simple_dumps(obj: Any) -> str:
+    """Dump the given object as a JSON string."""
+    return json.dumps(obj, cls=_LangChainEncoder)
+
+
+def simple_loads(s: str) -> Any:
+    """Load the given JSON string."""
+    return json.loads(s, cls=_LangChainDecoder)
diff --git a/libs/langserve/langserve/server.py b/libs/langserve/langserve/server.py
index 0a434490273ef..54e264be60c67 100644
--- a/libs/langserve/langserve/server.py
+++ b/libs/langserve/langserve/server.py
@@ -1,31 +1,31 @@
+from inspect import isclass
 from typing import (
     Any,
     AsyncIterator,
     Dict,
     List,
+    Literal,
     Mapping,
     Sequence,
     Type,
     Union,
 )
 
-from langchain.load.dump import dumpd, dumps
-from langchain.load.load import load
 from langchain.schema.runnable import Runnable
 from typing_extensions import Annotated
 
 try:
     from pydantic.v1 import BaseModel
 except ImportError:
-    from pydantic import BaseModel
+    from pydantic import BaseModel, create_model
 
+from langserve.serialization import simple_dumpd, simple_dumps
 from langserve.validation import (
     create_batch_request_model,
     create_invoke_request_model,
     create_runnable_config_model,
     create_stream_log_request_model,
     create_stream_request_model,
-    replace_lc_object_types,
 )
 
 try:
@@ -66,6 +66,31 @@ class BatchResponse(BaseModel):
     """
 
 
+def _unpack_input(validated_model: BaseModel) -> Any:
+    """Unpack the decoded input from the validated model."""
+    if hasattr(validated_model, "__root__"):
+        return validated_model.__root__
+    else:
+        return validated_model
+
+
+_MODEL_REGISTRY = {}
+
+
+def _resolve_input_type(input_type: Union[Type, BaseModel]) -> BaseModel:
+    if isclass(input_type) and issubclass(input_type, BaseModel):
+        input_type_ = input_type
+    else:
+        input_type_ = create_model("Input", __root__=(input_type, ...))
+
+    hash_ = input_type_.schema_json()
+
+    if hash_ not in _MODEL_REGISTRY:
+        _MODEL_REGISTRY[hash_] = input_type_
+
+    return _MODEL_REGISTRY[hash_]
+
+
 # PUBLIC API
 
 
@@ -74,7 +99,7 @@ def add_routes(
     runnable: Runnable,
     *,
     path: str = "",
-    input_type: Type = Any,
+    input_type: Union[Type, Literal["auto"], BaseModel] = "auto",
     config_keys: Sequence[str] = (),
 ) -> None:
     """Register the routes on the given FastAPI app or APIRouter.
@@ -83,9 +108,9 @@ def add_routes(
         app: The FastAPI app or APIRouter to which routes should be added.
         runnable: The runnable to wrap, must not be stateful.
         path: A path to prepend to all routes.
-        input_type: Optional type to define a schema for the input part of the request.
-            If not provided, any input that can be de-serialized with LangChain's
-            serializer will be accepted.
+        input_type: type to use for input validation.
+            Default is "auto" which will use the InputType of the runnable.
+            User is free to provide a custom type annotation.
         config_keys: list of config keys that will be accepted, by default
                      no config keys are accepted.
     """
@@ -98,19 +123,22 @@ def add_routes(
             "Use `pip install sse_starlette` to install."
         )
 
-    input_type = replace_lc_object_types(input_type)
+    if input_type == "auto":
+        input_type_ = _resolve_input_type(runnable.input_schema)
+    else:
+        input_type_ = _resolve_input_type(input_type)
 
     namespace = path or ""
 
     model_namespace = path.strip("/").replace("/", "_")
 
     config = create_runnable_config_model(model_namespace, config_keys)
-    InvokeRequest = create_invoke_request_model(model_namespace, input_type, config)
-    BatchRequest = create_batch_request_model(model_namespace, input_type, config)
+    InvokeRequest = create_invoke_request_model(model_namespace, input_type_, config)
+    BatchRequest = create_batch_request_model(model_namespace, input_type_, config)
     # Stream request is the same as invoke request, but with a different response type
-    StreamRequest = create_stream_request_model(model_namespace, input_type, config)
+    StreamRequest = create_stream_request_model(model_namespace, input_type_, config)
     StreamLogRequest = create_stream_log_request_model(
-        model_namespace, input_type, config
+        model_namespace, input_type_, config
     )
 
     @app.post(
@@ -124,25 +152,25 @@ async def invoke(
         # Request is first validated using InvokeRequest which takes into account
         # config_keys as well as input_type.
         # After validation, the input is loaded using LangChain's load function.
-        input = load(request.dict()["input"])
         config = _project_dict(request.config, config_keys)
-        output = await runnable.ainvoke(input, config=config, **request.kwargs)
-        return InvokeResponse(output=dumpd(output))
+        output = await runnable.ainvoke(
+            _unpack_input(request.input), config=config, **request.kwargs
+        )
+
+        return InvokeResponse(output=simple_dumpd(output))
 
     #
     @app.post(f"{namespace}/batch", response_model=BatchResponse)
     async def batch(request: Annotated[BatchRequest, BatchRequest]) -> BatchResponse:
         """Invoke the runnable with the given inputs and config."""
-        # Request is first validated using InvokeRequest which takes into account
-        # config_keys as well as input_type.
-        # After validation, the input is loaded using LangChain's load function.
-        inputs = load(request.dict()["inputs"])
         if isinstance(request.config, list):
             config = [_project_dict(config, config_keys) for config in request.config]
         else:
             config = _project_dict(request.config, config_keys)
+        inputs = [_unpack_input(input_) for input_ in request.inputs]
         output = await runnable.abatch(inputs, config=config, **request.kwargs)
-        return BatchResponse(output=dumpd(output))
+
+        return BatchResponse(output=simple_dumpd(output))
 
     @app.post(f"{namespace}/stream")
     async def stream(
@@ -152,17 +180,17 @@ async def stream(
         # Request is first validated using InvokeRequest which takes into account
         # config_keys as well as input_type.
         # After validation, the input is loaded using LangChain's load function.
-        input = load(request.dict()["input"])
+        input_ = _unpack_input(request.input)
         config = _project_dict(request.config, config_keys)
 
         async def _stream() -> AsyncIterator[dict]:
             """Stream the output of the runnable."""
             async for chunk in runnable.astream(
-                input,
+                input_,
                 config=config,
                 **request.kwargs,
             ):
-                yield {"data": dumps(chunk), "event": "data"}
+                yield {"data": simple_dumps(chunk), "event": "data"}
             yield {"event": "end"}
 
         return EventSourceResponse(_stream())
@@ -175,13 +203,13 @@ async def stream_log(
         # Request is first validated using InvokeRequest which takes into account
         # config_keys as well as input_type.
         # After validation, the input is loaded using LangChain's load function.
-        input = load(request.dict()["input"])
+        input_ = _unpack_input(request.input)
         config = _project_dict(request.config, config_keys)
 
         async def _stream_log() -> AsyncIterator[dict]:
             """Stream the output of the runnable."""
             async for run_log_patch in runnable.astream_log(
-                input,
+                input_,
                 config=config,
                 include_names=request.include_names,
                 include_types=request.include_types,
@@ -193,7 +221,7 @@ async def _stream_log() -> AsyncIterator[dict]:
             ):
                 # Temporary adapter
                 yield {
-                    "data": dumps({"ops": run_log_patch.ops}),
+                    "data": simple_dumps({"ops": run_log_patch.ops}),
                     "event": "data",
                 }
             yield {"event": "end"}
diff --git a/libs/langserve/langserve/validation.py b/libs/langserve/langserve/validation.py
index c0e2a43f6cad1..591eb23b93ebb 100644
--- a/libs/langserve/langserve/validation.py
+++ b/libs/langserve/langserve/validation.py
@@ -1,13 +1,11 @@
-import typing
-from typing import Any, List, Optional, Sequence, Type, Union, get_args, get_origin
+from typing import List, Optional, Sequence, Type, Union
 
-from langchain.load.serializable import Serializable
 from langchain.schema.runnable import RunnableConfig
 
 try:
     from pydantic.v1 import BaseModel, Field, create_model
 except ImportError:
-    from pydantic import BaseModel, Field, create_model, validator
+    from pydantic import BaseModel, Field, create_model
 
 from typing_extensions import TypedDict
 
@@ -104,97 +102,3 @@ def create_stream_log_request_model(
     )
     stream_log_request.update_forward_refs()
     return stream_log_request
-
-
-_TYPE_REGISTRY = {}
-_SEEN_NAMES = set()
-
-
-def _create_lc_object_validator(expected_id: Sequence[str]) -> Type[BaseModel]:
-    """Create a validator for lc objects.
-
-    An LCObject is used to validate LangChain objects in dict representation.
-
-    The model is associated with a validator that checks that the id of the LCObject
-    matches the expected id. This is used to ensure that the LCObject is of the
-    correct type.
-
-    For OpenAPI docs to work, each unique LCObject must have a unique name.
-    The models are added to the registry to avoid creating duplicate models.
-
-    Args:
-        model_id: The expected id of the LCObject.
-
-    Returns:
-        A pydantic model that can be used to validate LCObjects.
-    """
-    expected_id = tuple(expected_id)
-    model_id = tuple(["pydantic"]) + expected_id
-    if model_id in _TYPE_REGISTRY:
-        return _TYPE_REGISTRY[model_id]
-
-    model_name = model_id[-1]
-
-    if model_name in _SEEN_NAMES:
-        # Use fully qualified name
-        _name = ".".join(model_id)
-    else:
-        _name = model_name
-        if _name in _SEEN_NAMES:
-            raise AssertionError(f"Duplicate model name: {_name}")
-
-    _SEEN_NAMES.add(model_name)
-
-    class LCObject(BaseModel):
-        id: List[str]
-        lc: Any
-        type: str
-        kwargs: Any
-
-        @validator("id", allow_reuse=True)
-        def validate_id_namespace(cls, id: Sequence[str]) -> None:
-            """Validate that the LCObject is one of the allowed types."""
-            if tuple(id) != expected_id:
-                raise ValueError(f"LCObject id {id} is not allowed: {model_id}")
-            return id
-
-    # Update the name of the model to make it unique.
-    model = create_model(_name, __base__=LCObject)
-
-    _TYPE_REGISTRY[model_id] = model
-    return model
-
-
-def replace_lc_object_types(type_annotation: typing.Any) -> typing.Any:
-    """Recursively replaces all LangChain objects with a serialized representation.
-
-    Args:
-        type_annotation: The type annotation to replace.
-
-    Returns:
-        The type annotation with all LCObject types replaced.
-    """
-    origin = get_origin(type_annotation)
-    args = get_args(type_annotation)
-
-    if args:
-        if isinstance(args, (list, tuple)):
-            new_args = [replace_lc_object_types(arg) for arg in args]
-
-        if isinstance(origin, type):
-            if origin is list:
-                return typing.List[new_args[0]]
-            elif origin is tuple:
-                return typing.Tuple[tuple(new_args)]
-            else:
-                raise ValueError(f"Unknown origin type: {origin}")
-        else:
-            new_args = [replace_lc_object_types(arg) for arg in args]
-            return origin[tuple(new_args)]
-
-    if isinstance(type_annotation, type):
-        if issubclass(type_annotation, Serializable):
-            lc_id = type_annotation.get_lc_namespace() + [type_annotation.__name__]
-            return _create_lc_object_validator(lc_id)
-
-    return type_annotation
diff --git a/libs/langserve/poetry.lock b/libs/langserve/poetry.lock
index 70ce87b1ef331..6db5354cba4ae 100644
--- a/libs/langserve/poetry.lock
+++ b/libs/langserve/poetry.lock
@@ -419,75 +419,63 @@ files = [
 
 [[package]]
 name = "cffi"
-version = "1.15.1"
+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"},
-    {file = "cffi-1.15.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2"},
-    {file = "cffi-1.15.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:9ad5db27f9cabae298d151c85cf2bad1d359a1b9c686a275df03385758e2f914"},
-    {file = "cffi-1.15.1-cp27-cp27m-win32.whl", hash = "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3"},
-    {file = "cffi-1.15.1-cp27-cp27m-win_amd64.whl", hash = "sha256:e00b098126fd45523dd056d2efba6c5a63b71ffe9f2bbe1a4fe1716e1d0c331e"},
-    {file = "cffi-1.15.1-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:d61f4695e6c866a23a21acab0509af1cdfd2c013cf256bbf5b6b5e2695827162"},
-    {file = "cffi-1.15.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:ed9cb427ba5504c1dc15ede7d516b84757c3e3d7868ccc85121d9310d27eed0b"},
-    {file = "cffi-1.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d39875251ca8f612b6f33e6b1195af86d1b3e60086068be9cc053aa4376e21"},
-    {file = "cffi-1.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:285d29981935eb726a4399badae8f0ffdff4f5050eaa6d0cfc3f64b857b77185"},
-    {file = "cffi-1.15.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3eb6971dcff08619f8d91607cfc726518b6fa2a9eba42856be181c6d0d9515fd"},
-    {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:21157295583fe8943475029ed5abdcf71eb3911894724e360acff1d61c1d54bc"},
-    {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5635bd9cb9731e6d4a1132a498dd34f764034a8ce60cef4f5319c0541159392f"},
-    {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2012c72d854c2d03e45d06ae57f40d78e5770d252f195b93f581acf3ba44496e"},
-    {file = "cffi-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd86c085fae2efd48ac91dd7ccffcfc0571387fe1193d33b6394db7ef31fe2a4"},
-    {file = "cffi-1.15.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:fa6693661a4c91757f4412306191b6dc88c1703f780c8234035eac011922bc01"},
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+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8"},
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+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4"},
+    {file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098"},
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+    {file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe"},
+    {file = "cffi-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4"},
+    {file = "cffi-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8"},
+    {file = "cffi-1.16.0.tar.gz", hash = "sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0"},
 ]
 
 [package.dependencies]
@@ -769,6 +757,17 @@ files = [
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
 ]
 
+[[package]]
+name = "entrypoints"
+version = "0.4"
+description = "Discover and load entry points from installed packages."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"},
+    {file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.1.3"
@@ -799,13 +798,13 @@ tests = ["asttokens", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "fastapi"
-version = "0.103.1"
+version = "0.103.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "fastapi-0.103.1-py3-none-any.whl", hash = "sha256:5e5f17e826dbd9e9b5a5145976c5cd90bcaa61f2bf9a69aca423f2bcebe44d83"},
-    {file = "fastapi-0.103.1.tar.gz", hash = "sha256:345844e6a82062f06a096684196aaf96c1198b25c06b72c1311b882aa2d8a35d"},
+    {file = "fastapi-0.103.2-py3-none-any.whl", hash = "sha256:3270de872f0fe9ec809d4bd3d4d890c6d5cc7b9611d721d6438f9dacc8c4ef2e"},
+    {file = "fastapi-0.103.2.tar.gz", hash = "sha256:75a11f6bfb8fc4d2bec0bd710c2d5f2829659c0e8c0afd5560fdda6ce25ec653"},
 ]
 
 [package.dependencies]
@@ -1134,21 +1133,21 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 
 [[package]]
 name = "importlib-resources"
-version = "6.0.1"
+version = "6.1.0"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.0.1-py3-none-any.whl", hash = "sha256:134832a506243891221b88b4ae1213327eea96ceb4e407a00d790bb0626f45cf"},
-    {file = "importlib_resources-6.0.1.tar.gz", hash = "sha256:4359457e42708462b9626a04657c6208ad799ceb41e5c58c57ffa0e6a098a5d4"},
+    {file = "importlib_resources-6.1.0-py3-none-any.whl", hash = "sha256:aa50258bbfa56d4e33fbd8aa3ef48ded10d1735f11532b8df95388cc6bdb7e83"},
+    {file = "importlib_resources-6.1.0.tar.gz", hash = "sha256:9d48dcccc213325e810fd723e7fbb45ccb39f6cf5c31f00cf2b965f5f10f3cb9"},
 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
 
 [[package]]
 name = "iniconfig"
@@ -1196,13 +1195,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
 
 [[package]]
 name = "ipython"
-version = "8.12.2"
+version = "8.12.3"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipython-8.12.2-py3-none-any.whl", hash = "sha256:ea8801f15dfe4ffb76dea1b09b847430ffd70d827b41735c64a0638a04103bfc"},
-    {file = "ipython-8.12.2.tar.gz", hash = "sha256:c7b80eb7f5a855a88efc971fda506ff7a91c280b42cdae26643e0f601ea281ea"},
+    {file = "ipython-8.12.3-py3-none-any.whl", hash = "sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c"},
+    {file = "ipython-8.12.3.tar.gz", hash = "sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363"},
 ]
 
 [package.dependencies]
@@ -1335,13 +1334,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.19.0"
+version = "4.19.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.19.0-py3-none-any.whl", hash = "sha256:043dc26a3845ff09d20e4420d6012a9c91c9aa8999fa184e7efcfeccb41e32cb"},
-    {file = "jsonschema-4.19.0.tar.gz", hash = "sha256:6e1e7569ac13be8139b2dd2c21a55d350066ee3f80df06c608b398cdc6f30e8f"},
+    {file = "jsonschema-4.19.1-py3-none-any.whl", hash = "sha256:cd5f1f9ed9444e554b38ba003af06c0a8c2868131e56bfbef0550fb450c0330e"},
+    {file = "jsonschema-4.19.1.tar.gz", hash = "sha256:ec84cc37cfa703ef7cd4928db24f9cb31428a5d0fa77747b8b51a847458e0bbf"},
 ]
 
 [package.dependencies]
@@ -1381,36 +1380,37 @@ referencing = ">=0.28.0"
 
 [[package]]
 name = "jupyter-client"
-version = "8.3.1"
+version = "7.4.9"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "jupyter_client-8.3.1-py3-none-any.whl", hash = "sha256:5eb9f55eb0650e81de6b7e34308d8b92d04fe4ec41cd8193a913979e33d8e1a5"},
-    {file = "jupyter_client-8.3.1.tar.gz", hash = "sha256:60294b2d5b869356c893f57b1a877ea6510d60d45cf4b38057f1672d85699ac9"},
+    {file = "jupyter_client-7.4.9-py3-none-any.whl", hash = "sha256:214668aaea208195f4c13d28eb272ba79f945fc0cf3f11c7092c20b2ca1980e7"},
+    {file = "jupyter_client-7.4.9.tar.gz", hash = "sha256:52be28e04171f07aed8f20e1616a5a552ab9fee9cbbe6c1896ae170c3880d392"},
 ]
 
 [package.dependencies]
-importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+entrypoints = "*"
+jupyter-core = ">=4.9.2"
+nest-asyncio = ">=1.5.4"
 python-dateutil = ">=2.8.2"
 pyzmq = ">=23.0"
 tornado = ">=6.2"
-traitlets = ">=5.3"
+traitlets = "*"
 
 [package.extras]
-docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
+test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.3.1"
+version = "5.3.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.3.1-py3-none-any.whl", hash = "sha256:ae9036db959a71ec1cac33081eeb040a79e681f08ab68b0883e9a676c7a90dce"},
-    {file = "jupyter_core-5.3.1.tar.gz", hash = "sha256:5ba5c7938a7f97a6b0481463f7ff0dbac7c15ba48cf46fa4035ca6e838aa1aba"},
+    {file = "jupyter_core-5.3.2-py3-none-any.whl", hash = "sha256:a4af53c3fa3f6330cebb0d9f658e148725d15652811d1c32dc0f63bb96f2e6d6"},
+    {file = "jupyter_core-5.3.2.tar.gz", hash = "sha256:0c28db6cbe2c37b5b398e1a1a5b22f84fd64cd10afc1f6c05b02fb09481ba45f"},
 ]
 
 [package.dependencies]
@@ -1561,13 +1561,13 @@ test = ["pre-commit", "pytest", "pytest-asyncio", "websockets (>=10.0)", "ypy-we
 
 [[package]]
 name = "jupyterlab"
-version = "3.6.5"
+version = "3.6.6"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyterlab-3.6.5-py3-none-any.whl", hash = "sha256:4d13665c2c2f42c753140d88b52ff8722cd5b38629b934f5612bfa5490bcdc65"},
-    {file = "jupyterlab-3.6.5.tar.gz", hash = "sha256:ac0cb19756be1d1e14b2be1f23c603de46e0f0113960fce9888889ca55ae8923"},
+    {file = "jupyterlab-3.6.6-py3-none-any.whl", hash = "sha256:2c1309e77135670233f1146aef88e2101002ff0dc5b9147c2b987807efbbca07"},
+    {file = "jupyterlab-3.6.6.tar.gz", hash = "sha256:0a47d7adb28bd5659d727783f4113537e54f8c66e0d6322d1d8f9edb081dc926"},
 ]
 
 [package.dependencies]
@@ -1630,40 +1630,45 @@ version = "0.0.304"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
-files = [
-    {file = "langchain-0.0.304-py3-none-any.whl", hash = "sha256:be7820af6c9357f7714850f86b3fc68ec8ac1cec4f61a40e490825d8b06297b4"},
-    {file = "langchain-0.0.304.tar.gz", hash = "sha256:739241c41bfe8b879aa55e8f38074156f7609a6589395277219b70df3b19981d"},
-]
+files = []
+develop = false
 
 [package.dependencies]
-aiohttp = ">=3.8.3,<4.0.0"
+aiohttp = "^3.8.3"
 anyio = "<4.0"
-async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-dataclasses-json = ">=0.5.7,<0.7"
-jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.0.38,<0.1.0"
-numexpr = ">=2.8.4,<3.0.0"
-numpy = ">=1,<2"
+async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
+dataclasses-json = ">= 0.5.7, < 0.7"
+jsonpatch = "^1.33"
+langsmith = "~0.0.38"
+numexpr = "^2.8.4"
+numpy = "^1"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
-requests = ">=2,<3"
+requests = "^2"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<9.0.0"
+tenacity = "^8.1.0"
 
 [package.extras]
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+    {file = "pyzmq-24.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44e706bac34e9f50779cb8c39f10b53a4d15aebb97235643d3112ac20bd577b4"},
+    {file = "pyzmq-24.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:687700f8371643916a1d2c61f3fdaa630407dd205c38afff936545d7b7466066"},
+    {file = "pyzmq-24.0.1.tar.gz", hash = "sha256:216f5d7dbb67166759e59b0479bca82b8acf9bed6015b526b8eb10143fb08e77"},
 ]
 
 [package.dependencies]
 cffi = {version = "*", markers = "implementation_name == \"pypy\""}
+py = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "referencing"
@@ -3291,13 +3289,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.10.0"
+version = "5.10.1"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.10.0-py3-none-any.whl", hash = "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54"},
-    {file = "traitlets-5.10.0.tar.gz", hash = "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"},
+    {file = "traitlets-5.10.1-py3-none-any.whl", hash = "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116"},
+    {file = "traitlets-5.10.1.tar.gz", hash = "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"},
 ]
 
 [package.extras]
@@ -3346,13 +3344,13 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.0.4"
+version = "2.0.5"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"},
-    {file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"},
+    {file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
+    {file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
 ]
 
 [package.extras]
@@ -3467,13 +3465,13 @@ anyio = ">=3.0.0"
 
 [[package]]
 name = "wcwidth"
-version = "0.2.6"
+version = "0.2.7"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "wcwidth-0.2.7-py2.py3-none-any.whl", hash = "sha256:fabf3e32999d9b0dab7d19d845149f326f04fe29bac67709ee071dbd92640a36"},
+    {file = "wcwidth-0.2.7.tar.gz", hash = "sha256:1b6d30a98ddd5ce9bbdb33658191fd2423fc9da203fe3ef1855407dcb7ee4e26"},
 ]
 
 [[package]]
@@ -3801,4 +3799,4 @@ server = ["fastapi", "sse-starlette"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">3.8.1,<4"
-content-hash = "e8db4e6e8cd78f7082ac556cd561267c7e3ce1e80d2aa16adb5ff09834ef5d02"
+content-hash = "a2e85c00c6ce7a2fd5e0aa4322135b9d8f4a8bc6bc65c1200f913f769fc81d94"
diff --git a/libs/langserve/pyproject.toml b/libs/langserve/pyproject.toml
index 446a3dfff8760..d42b04d48d94a 100644
--- a/libs/langserve/pyproject.toml
+++ b/libs/langserve/pyproject.toml
@@ -14,7 +14,7 @@ fastapi = {version = ">0.90.1", optional = true}
 sse-starlette = {version = "^1.3.0", optional = true}
 httpx-sse = {version = "^0.3.1", optional = true}
 pydantic = "^1"
-langchain = ">=0.0.304"
+langchain = { git = "https://github.com/langchain-ai/langchain", subdirectory = "libs/langchain" }
 
 [tool.poetry.group.dev.dependencies]
 jupyterlab = "^3.6.1"
diff --git a/libs/langserve/tests/unit_tests/test_encoders.py b/libs/langserve/tests/unit_tests/test_encoders.py
new file mode 100644
index 0000000000000..ec1c4700fb38c
--- /dev/null
+++ b/libs/langserve/tests/unit_tests/test_encoders.py
@@ -0,0 +1,122 @@
+import json
+from typing import Any
+
+import pytest
+from langchain.schema.messages import (
+    HumanMessage,
+    SystemMessage,
+)
+
+from langserve.serialization import simple_dumps, simple_loads
+
+
+@pytest.mark.parametrize(
+    "data, expected_json",
+    [
+        # Test with python primitives
+        (1, 1),
+        ([], []),
+        ({}, {}),
+        ({"a": 1}, {"a": 1}),
+        (
+            {"output": [HumanMessage(content="hello")]},
+            {
+                "output": [
+                    {
+                        "content": "hello",
+                        "additional_kwargs": {},
+                        "type": "human",
+                        "example": False,
+                    }
+                ]
+            },
+        ),
+        # Test with a single message (HumanMessage)
+        (
+            HumanMessage(content="Hello"),
+            {
+                "additional_kwargs": {},
+                "content": "Hello",
+                "example": False,
+                "type": "human",
+            },
+        ),
+        # Test with a list containing mixed elements
+        (
+            [HumanMessage(content="Hello"), SystemMessage(content="Hi"), 42, "world"],
+            [
+                {
+                    "additional_kwargs": {},
+                    "content": "Hello",
+                    "example": False,
+                    "type": "human",
+                },
+                {"additional_kwargs": {}, "content": "Hi", "type": "system"},
+                42,
+                "world",
+            ],
+        ),
+        # # Attention: This test is not correct right now
+        # # Test with full and chunk messages
+        # (
+        #     [HumanMessage(content="Hello"), HumanMessageChunk(content="Hi")],
+        #     [
+        #         {
+        #             "additional_kwargs": {},
+        #             "content": "Hello",
+        #             "example": False,
+        #             "type": "human",
+        #         },
+        #         {
+        #             "additional_kwargs": {},
+        #             "content": "Hi",
+        #             "example": False,
+        #             "type": "human",
+        #         },
+        #     ],
+        # ),
+        # # Attention: This test is not correct right now
+        # # Test with full and chunk messages
+        # (
+        #     [HumanMessageChunk(content="Hello"), HumanMessage(content="Hi")],
+        #     [
+        #         {
+        #             "additional_kwargs": {},
+        #             "content": "Hello",
+        #             "example": False,
+        #             "type": "human",
+        #         },
+        #         {
+        #             "additional_kwargs": {},
+        #             "content": "Hi",
+        #             "example": False,
+        #             "type": "human",
+        #         },
+        #     ],
+        # ),
+        # Test with a dictionary containing mixed elements
+        (
+            {
+                "message": HumanMessage(content="Greetings"),
+                "numbers": [1, 2, 3],
+                "boom": "Hello, world!",
+            },
+            {
+                "message": {
+                    "additional_kwargs": {},
+                    "content": "Greetings",
+                    "example": False,
+                    "type": "human",
+                },
+                "numbers": [1, 2, 3],
+                "boom": "Hello, world!",
+            },
+        ),
+    ],
+)
+def test_serialization(data: Any, expected_json: Any) -> None:
+    """Test that the LangChainEncoder encodes the data as expected."""
+    # Test encoding
+    assert json.loads(simple_dumps(data)) == expected_json
+    # Test decoding
+    assert simple_loads(json.dumps(expected_json)) == data
diff --git a/libs/langserve/tests/unit_tests/test_server_client.py b/libs/langserve/tests/unit_tests/test_server_client.py
index 5bd1ada8c5892..9c0b57d384e7f 100644
--- a/libs/langserve/tests/unit_tests/test_server_client.py
+++ b/libs/langserve/tests/unit_tests/test_server_client.py
@@ -2,7 +2,7 @@
 import asyncio
 from asyncio import AbstractEventLoop
 from contextlib import asynccontextmanager
-from typing import Any, List, Optional
+from typing import List, Optional, Union
 
 import httpx
 import pytest
@@ -34,18 +34,16 @@ def event_loop():
 def app(event_loop: AbstractEventLoop) -> FastAPI:
     """A simple server that wraps a Runnable and exposes it as an API."""
 
-    async def add_one_or_passthrough(x: Any) -> int:
+    async def add_one_or_passthrough(
+        x: Union[int, HumanMessage]
+    ) -> Union[int, HumanMessage]:
         """Add one to int or passthrough."""
         if isinstance(x, int):
             return x + 1
         else:
             return x
 
-    def raise_on_call(x: int) -> int:
-        """Sync function server side should never be called."""
-        raise AssertionError("Should not be called")
-
-    runnable_lambda = RunnableLambda(func=raise_on_call, afunc=add_one_or_passthrough)
+    runnable_lambda = RunnableLambda(func=add_one_or_passthrough)
     app = FastAPI()
     try:
         add_routes(app, runnable_lambda)
@@ -132,7 +130,6 @@ def test_invoke(client: RemoteRunnable) -> None:
     """Test sync invoke."""
     assert client.invoke(1) == 2
     assert client.invoke(HumanMessage(content="hello")) == HumanMessage(content="hello")
-
     # Test invocation with config
     assert client.invoke(1, config={"tags": ["test"]}) == 2
 
@@ -234,6 +231,19 @@ def test_invoke_as_part_of_sequence(client: RemoteRunnable) -> None:
     # assert list(runnable.stream([1, 2], config={"tags": ["test"]})) == [3, 4]
 
 
+def test_pydantic_root():
+    from pydantic import BaseModel
+
+    class Model(BaseModel):
+        __root__: str
+
+    class Q(BaseModel):
+        input: Model
+
+    # s = Model(__root__=[23])
+    Q(input="hello")
+
+
 @pytest.mark.asyncio
 async def test_invoke_as_part_of_sequence_async(async_client: RemoteRunnable) -> None:
     """Test as part of a sequence.
@@ -466,3 +476,35 @@ async def test_async_client_close() -> None:
     del runnable
     assert sync_client.is_closed is True
     assert async_client.is_closed is True
+
+
+@pytest.mark.asyncio
+async def test_openapi_docs_with_identical_runnables(
+    event_loop: AbstractEventLoop, mocker: MockerFixture
+) -> None:
+    """Test client side and server side exceptions."""
+
+    async def add_one(x: int) -> int:
+        """Add one to simulate a valid function"""
+        return x + 1
+
+    server_runnable = RunnableLambda(func=add_one)
+    server_runnable2 = RunnableLambda(func=add_one)
+
+    app = FastAPI()
+    add_routes(
+        app,
+        server_runnable,
+        path="/1",
+    )
+    # Add another route that uses the same schema (inferred from runnable input schema)
+    add_routes(
+        app,
+        server_runnable2,
+        path="/2",
+        config_keys=["tags", "run_name"],
+    )
+
+    async with AsyncClient(app=app, base_url="http://localhost:9999") as async_client:
+        response = await async_client.get("/openapi.json")
+        assert response.status_code == 200
diff --git a/libs/langserve/tests/unit_tests/test_validation.py b/libs/langserve/tests/unit_tests/test_validation.py
index 92a818ccb9da6..65dea8bdbe389 100644
--- a/libs/langserve/tests/unit_tests/test_validation.py
+++ b/libs/langserve/tests/unit_tests/test_validation.py
@@ -1,10 +1,6 @@
-import typing
 from typing import Optional
 
 import pytest
-from langchain.load.dump import dumpd
-from langchain.schema import AIMessage, HumanMessage, SystemMessage
-from typing_extensions import TypedDict
 
 try:
     from pydantic.v1 import BaseModel, ValidationError
@@ -15,7 +11,6 @@
     create_batch_request_model,
     create_invoke_request_model,
     create_runnable_config_model,
-    replace_lc_object_types,
 )
 
 
@@ -133,104 +128,3 @@ def test_validation(test_case) -> None:
     else:
         with pytest.raises(ValidationError):
             model(**test_case)
-
-
-def test_replace_lc_object_types() -> None:
-    """Replace lc object types in a model."""
-    updated_type = replace_lc_object_types(typing.List[HumanMessage])
-    config = create_runnable_config_model("test", [])
-    invoke_request = create_invoke_request_model("namespace", updated_type, config)
-    invoke_request(
-        input=dumpd(
-            [
-                HumanMessage(content="Hello, world!"),
-                HumanMessage(content="Hello, world 2!"),
-            ]
-        )
-    )
-
-    with pytest.raises(ValidationError):
-        invoke_request(input=[dumpd(AIMessage(content="Hello, world!"))])
-
-    with pytest.raises(ValidationError):
-        invoke_request(
-            input=dumpd(
-                [
-                    AIMessage(content="Hello, world!"),
-                    HumanMessage(content="Hello, world!"),
-                ]
-            ),
-        )
-
-
-def test_batch_request_with_lc_serialization() -> None:
-    """Test batch request with LC serialization."""
-
-    input_type = replace_lc_object_types(typing.List[HumanMessage])
-    config = create_runnable_config_model("test", [])
-    batch_request = create_batch_request_model("namespace", input_type, config)
-    with pytest.raises(ValidationError):
-        batch_request(inputs=dumpd([[SystemMessage(content="Hello, world!")]]))
-
-    with pytest.raises(ValidationError):
-        batch_request(inputs=dumpd(HumanMessage(content="Hello, world!")))
-
-    with pytest.raises(ValidationError):
-        batch_request(inputs=dumpd([HumanMessage(content="Hello, world!")]))
-
-    batch_request(inputs=dumpd([[HumanMessage(content="Hello, world!")]]))
-
-
-class PlaceHolderTypedDict(TypedDict):
-    x: int
-    z: HumanMessage
-
-
-@pytest.mark.parametrize(
-    "type_,input,is_valid",
-    [
-        (None, None, True),
-        (str, "hello", True),
-        (str, 123.0, True),
-        (float, "qwe", False),
-        (int, 1, True),
-        (int, "qwe", False),
-        (typing.Union[str, int], "hello", True),
-        (typing.Union[str, int], 3, True),
-        (typing.List[str], ["a", "b"], True),
-        (typing.List[str], ["a", None], False),
-        (typing.List[HumanMessage], [HumanMessage(content="hello, world!")], True),
-        (typing.List[HumanMessage], [SystemMessage(content="hello, world!")], False),
-        (
-            typing.List[typing.Union[HumanMessage, SystemMessage]],
-            [HumanMessage(content="he"), SystemMessage(content="hello, world!")],
-            True,
-        ),
-        (
-            typing.List[typing.Union[HumanMessage, SystemMessage]],
-            HumanMessage(content="hello"),
-            False,
-        ),
-        (
-            typing.Union[
-                typing.List[typing.Union[SystemMessage, HumanMessage, str]], str
-            ],
-            ["hello", "world"],
-            True,
-        ),
-    ],
-)
-def test_replace_lc_object_type(
-    type_: typing.Any, input: typing.Any, is_valid: bool
-) -> None:
-    """Verify that code runs on different python versions."""
-    new_type = replace_lc_object_types(type_)
-
-    class Model(BaseModel):
-        input_: new_type
-
-    if is_valid:
-        Model(input_=dumpd(input))
-    else:
-        with pytest.raises(ValidationError):
-            Model(input_=dumpd(input))