diff --git a/libs/langchain/langchain/agents/openai_assistant/base.py b/libs/langchain/langchain/agents/openai_assistant/base.py
index 7939542858909..fa827adca5f0f 100644
--- a/libs/langchain/langchain/agents/openai_assistant/base.py
+++ b/libs/langchain/langchain/agents/openai_assistant/base.py
@@ -28,6 +28,10 @@ class OpenAIAssistantFinish(AgentFinish):
     run_id: str
     thread_id: str
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
 
 class OpenAIAssistantAction(AgentAction):
     """AgentAction with info needed to submit custom tool output to existing run."""
@@ -36,6 +40,10 @@ class OpenAIAssistantAction(AgentAction):
     run_id: str
     thread_id: str
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
 
 def _get_openai_client() -> openai.OpenAI:
     try:
diff --git a/libs/langchain/langchain/agents/schema.py b/libs/langchain/langchain/agents/schema.py
index 6c16cad9e6dd6..e0c00fb95e8a0 100644
--- a/libs/langchain/langchain/agents/schema.py
+++ b/libs/langchain/langchain/agents/schema.py
@@ -7,6 +7,10 @@
 class AgentScratchPadChatPromptTemplate(ChatPromptTemplate):
     """Chat prompt template for the agent scratchpad."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     def _construct_agent_scratchpad(
         self, intermediate_steps: List[Tuple[AgentAction, str]]
     ) -> str:
diff --git a/libs/langchain/langchain/chains/api/openapi/requests_chain.py b/libs/langchain/langchain/chains/api/openapi/requests_chain.py
index 50179cc90294c..cca19165ee2e3 100644
--- a/libs/langchain/langchain/chains/api/openapi/requests_chain.py
+++ b/libs/langchain/langchain/chains/api/openapi/requests_chain.py
@@ -40,6 +40,10 @@ def _type(self) -> str:
 class APIRequesterChain(LLMChain):
     """Get the request parser."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @classmethod
     def from_llm_and_typescript(
         cls,
diff --git a/libs/langchain/langchain/chains/api/openapi/response_chain.py b/libs/langchain/langchain/chains/api/openapi/response_chain.py
index 1c6156091f29e..06e7686b4a379 100644
--- a/libs/langchain/langchain/chains/api/openapi/response_chain.py
+++ b/libs/langchain/langchain/chains/api/openapi/response_chain.py
@@ -40,6 +40,10 @@ def _type(self) -> str:
 class APIResponderChain(LLMChain):
     """Get the response parser."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @classmethod
     def from_llm(
         cls, llm: BaseLanguageModel, verbose: bool = True, **kwargs: Any
diff --git a/libs/langchain/langchain/chains/conversation/base.py b/libs/langchain/langchain/chains/conversation/base.py
index d05e7920b5ef6..f0c42217343de 100644
--- a/libs/langchain/langchain/chains/conversation/base.py
+++ b/libs/langchain/langchain/chains/conversation/base.py
@@ -36,6 +36,10 @@ class Config:
         extra = Extra.forbid
         arbitrary_types_allowed = True
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def input_keys(self) -> List[str]:
         """Use this since so some prompt vars come from history."""
diff --git a/libs/langchain/langchain/chains/flare/base.py b/libs/langchain/langchain/chains/flare/base.py
index 638212d54efac..de673f6cb8647 100644
--- a/libs/langchain/langchain/chains/flare/base.py
+++ b/libs/langchain/langchain/chains/flare/base.py
@@ -29,6 +29,10 @@ class _ResponseChain(LLMChain):
 
     prompt: BasePromptTemplate = PROMPT
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def input_keys(self) -> List[str]:
         return self.prompt.input_variables
@@ -77,6 +81,10 @@ class QuestionGeneratorChain(LLMChain):
     prompt: BasePromptTemplate = QUESTION_GENERATOR_PROMPT
     """Prompt template for the chain."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def input_keys(self) -> List[str]:
         """Input keys for the chain."""
diff --git a/libs/langchain/langchain/chat_models/anyscale.py b/libs/langchain/langchain/chat_models/anyscale.py
index 27efc4a1abfb1..ff579d27f5f70 100644
--- a/libs/langchain/langchain/chat_models/anyscale.py
+++ b/libs/langchain/langchain/chat_models/anyscale.py
@@ -57,6 +57,10 @@ def _llm_type(self) -> str:
     def lc_secrets(self) -> Dict[str, str]:
         return {"anyscale_api_key": "ANYSCALE_API_KEY"}
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     anyscale_api_key: SecretStr
     """AnyScale Endpoints API keys."""
     model_name: str = Field(default=DEFAULT_MODEL, alias="model")
diff --git a/libs/langchain/langchain/chat_models/everlyai.py b/libs/langchain/langchain/chat_models/everlyai.py
index 95bddaba5b06d..046f00f6e77e1 100644
--- a/libs/langchain/langchain/chat_models/everlyai.py
+++ b/libs/langchain/langchain/chat_models/everlyai.py
@@ -51,6 +51,10 @@ def _llm_type(self) -> str:
     def lc_secrets(self) -> Dict[str, str]:
         return {"everlyai_api_key": "EVERLYAI_API_KEY"}
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     everlyai_api_key: Optional[str] = None
     """EverlyAI Endpoints API keys."""
     model_name: str = Field(default=DEFAULT_MODEL, alias="model")
diff --git a/libs/langchain/langchain/chat_models/jinachat.py b/libs/langchain/langchain/chat_models/jinachat.py
index bdb77e25b20a0..abaf57b5ff31e 100644
--- a/libs/langchain/langchain/chat_models/jinachat.py
+++ b/libs/langchain/langchain/chat_models/jinachat.py
@@ -165,7 +165,7 @@ def lc_secrets(self) -> Dict[str, str]:
     @classmethod
     def is_lc_serializable(cls) -> bool:
         """Return whether this model can be serialized by Langchain."""
-        return True
+        return False
 
     client: Any  #: :meta private:
     temperature: float = 0.7
diff --git a/libs/langchain/langchain/chat_models/konko.py b/libs/langchain/langchain/chat_models/konko.py
index eaafb108105f7..8065c3cb10756 100644
--- a/libs/langchain/langchain/chat_models/konko.py
+++ b/libs/langchain/langchain/chat_models/konko.py
@@ -57,7 +57,7 @@ def lc_secrets(self) -> Dict[str, str]:
     @classmethod
     def is_lc_serializable(cls) -> bool:
         """Return whether this model can be serialized by Langchain."""
-        return True
+        return False
 
     client: Any = None  #: :meta private:
     model: str = Field(default=DEFAULT_MODEL, alias="model")
diff --git a/libs/langchain/langchain/chat_models/ollama.py b/libs/langchain/langchain/chat_models/ollama.py
index b356733566d16..819f657fb9678 100644
--- a/libs/langchain/langchain/chat_models/ollama.py
+++ b/libs/langchain/langchain/chat_models/ollama.py
@@ -50,7 +50,7 @@ def _llm_type(self) -> str:
     @classmethod
     def is_lc_serializable(cls) -> bool:
         """Return whether this model can be serialized by Langchain."""
-        return True
+        return False
 
     def _format_message_as_text(self, message: BaseMessage) -> str:
         if isinstance(message, ChatMessage):
diff --git a/libs/langchain/langchain/chat_models/promptlayer_openai.py b/libs/langchain/langchain/chat_models/promptlayer_openai.py
index e7146b6ecaa30..bab7a1ffdb04f 100644
--- a/libs/langchain/langchain/chat_models/promptlayer_openai.py
+++ b/libs/langchain/langchain/chat_models/promptlayer_openai.py
@@ -39,6 +39,10 @@ class PromptLayerChatOpenAI(ChatOpenAI):
     pl_tags: Optional[List[str]]
     return_pl_id: Optional[bool] = False
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     def _generate(
         self,
         messages: List[BaseMessage],
diff --git a/libs/langchain/langchain/chat_models/volcengine_maas.py b/libs/langchain/langchain/chat_models/volcengine_maas.py
index 5ce8378d94f36..2af4754179384 100644
--- a/libs/langchain/langchain/chat_models/volcengine_maas.py
+++ b/libs/langchain/langchain/chat_models/volcengine_maas.py
@@ -76,7 +76,7 @@ def _llm_type(self) -> str:
     @classmethod
     def is_lc_serializable(cls) -> bool:
         """Return whether this model can be serialized by Langchain."""
-        return True
+        return False
 
     @property
     def _identifying_params(self) -> Dict[str, Any]:
diff --git a/libs/langchain/langchain/document_transformers/embeddings_redundant_filter.py b/libs/langchain/langchain/document_transformers/embeddings_redundant_filter.py
index d7772a3092ded..276ac2061f700 100644
--- a/libs/langchain/langchain/document_transformers/embeddings_redundant_filter.py
+++ b/libs/langchain/langchain/document_transformers/embeddings_redundant_filter.py
@@ -15,6 +15,10 @@ class _DocumentWithState(Document):
     state: dict = Field(default_factory=dict)
     """State associated with the document."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     def to_document(self) -> Document:
         """Convert the DocumentWithState to a Document."""
         return Document(page_content=self.page_content, metadata=self.metadata)
diff --git a/libs/langchain/langchain/evaluation/comparison/eval_chain.py b/libs/langchain/langchain/evaluation/comparison/eval_chain.py
index 65f8fc939a8f8..aaf97b22178fc 100644
--- a/libs/langchain/langchain/evaluation/comparison/eval_chain.py
+++ b/libs/langchain/langchain/evaluation/comparison/eval_chain.py
@@ -188,6 +188,10 @@ class PairwiseStringEvalChain(PairwiseStringEvaluator, LLMEvalChain, LLMChain):
         default_factory=PairwiseStringResultOutputParser
     )
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     class Config:
         """Configuration for the PairwiseStringEvalChain."""
 
diff --git a/libs/langchain/langchain/evaluation/criteria/eval_chain.py b/libs/langchain/langchain/evaluation/criteria/eval_chain.py
index ac3bb1211c8b0..ab167477c454f 100644
--- a/libs/langchain/langchain/evaluation/criteria/eval_chain.py
+++ b/libs/langchain/langchain/evaluation/criteria/eval_chain.py
@@ -232,6 +232,10 @@ class CriteriaEvalChain(StringEvaluator, LLMEvalChain, LLMChain):
     """The name of the criterion being evaluated."""
     output_key: str = "results"  #: :meta private:
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     class Config:
         """Configuration for the QAEvalChain."""
 
@@ -508,6 +512,10 @@ async def _aevaluate_strings(
 class LabeledCriteriaEvalChain(CriteriaEvalChain):
     """Criteria evaluation chain that requires references."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def requires_reference(self) -> bool:
         """Whether the evaluation requires a reference text."""
diff --git a/libs/langchain/langchain/evaluation/qa/eval_chain.py b/libs/langchain/langchain/evaluation/qa/eval_chain.py
index ae63aa343f8c1..9a465d025547f 100644
--- a/libs/langchain/langchain/evaluation/qa/eval_chain.py
+++ b/libs/langchain/langchain/evaluation/qa/eval_chain.py
@@ -77,6 +77,10 @@ class Config:
 
         extra = Extra.ignore
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def evaluation_name(self) -> str:
         return "correctness"
@@ -204,6 +208,10 @@ async def _aevaluate_strings(
 class ContextQAEvalChain(LLMChain, StringEvaluator, LLMEvalChain):
     """LLM Chain for evaluating QA w/o GT based on context"""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def requires_reference(self) -> bool:
         """Whether the chain requires a reference string."""
@@ -328,6 +336,10 @@ async def _aevaluate_strings(
 class CotQAEvalChain(ContextQAEvalChain):
     """LLM Chain for evaluating QA using chain of thought reasoning."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def evaluation_name(self) -> str:
         return "COT Contextual Accuracy"
diff --git a/libs/langchain/langchain/evaluation/qa/generate_chain.py b/libs/langchain/langchain/evaluation/qa/generate_chain.py
index 46854fae00642..219978f739d02 100644
--- a/libs/langchain/langchain/evaluation/qa/generate_chain.py
+++ b/libs/langchain/langchain/evaluation/qa/generate_chain.py
@@ -22,6 +22,10 @@ class QAGenerateChain(LLMChain):
     output_parser: BaseLLMOutputParser = Field(default=_QA_OUTPUT_PARSER)
     output_key: str = "qa_pairs"
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @classmethod
     def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:
         """Load QA Generate Chain from LLM."""
diff --git a/libs/langchain/langchain/evaluation/scoring/eval_chain.py b/libs/langchain/langchain/evaluation/scoring/eval_chain.py
index 3f7449bb0dc28..dab0d4842f6bb 100644
--- a/libs/langchain/langchain/evaluation/scoring/eval_chain.py
+++ b/libs/langchain/langchain/evaluation/scoring/eval_chain.py
@@ -185,6 +185,10 @@ class Config:
 
         extra = Extra.ignore
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def requires_reference(self) -> bool:
         """Return whether the chain requires a reference.
diff --git a/libs/langchain/langchain/indexes/_api.py b/libs/langchain/langchain/indexes/_api.py
index 5637a12511b3e..29bf6dfb5ea7e 100644
--- a/libs/langchain/langchain/indexes/_api.py
+++ b/libs/langchain/langchain/indexes/_api.py
@@ -58,6 +58,10 @@ class _HashedDocument(Document):
     metadata_hash: str
     """The hash of the document metadata."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @root_validator(pre=True)
     def calculate_hashes(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         """Root validator to calculate content and metadata hash."""
diff --git a/libs/langchain/langchain/llms/anyscale.py b/libs/langchain/langchain/llms/anyscale.py
index e2f26463ecd95..a58bbb183df1c 100644
--- a/libs/langchain/langchain/llms/anyscale.py
+++ b/libs/langchain/langchain/llms/anyscale.py
@@ -90,6 +90,10 @@ def send_query(llm, text):
 
     prefix_messages: List = Field(default_factory=list)
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @root_validator()
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
diff --git a/libs/langchain/langchain/llms/openlm.py b/libs/langchain/langchain/llms/openlm.py
index fcbf3af584209..13231e85641da 100644
--- a/libs/langchain/langchain/llms/openlm.py
+++ b/libs/langchain/langchain/llms/openlm.py
@@ -8,6 +8,10 @@
 class OpenLM(BaseOpenAI):
     """OpenLM models."""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def _invocation_params(self) -> Dict[str, Any]:
         return {**{"model": self.model_name}, **super()._invocation_params}
diff --git a/libs/langchain/langchain/llms/promptlayer_openai.py b/libs/langchain/langchain/llms/promptlayer_openai.py
index b8037cdbfbe7d..025347aabe13d 100644
--- a/libs/langchain/langchain/llms/promptlayer_openai.py
+++ b/libs/langchain/langchain/llms/promptlayer_openai.py
@@ -37,6 +37,10 @@ class PromptLayerOpenAI(OpenAI):
     pl_tags: Optional[List[str]]
     return_pl_id: Optional[bool] = False
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     def _generate(
         self,
         prompts: List[str],
diff --git a/libs/langchain/langchain/llms/tongyi.py b/libs/langchain/langchain/llms/tongyi.py
index 1ecd238cd745e..3606e6289f8aa 100644
--- a/libs/langchain/langchain/llms/tongyi.py
+++ b/libs/langchain/langchain/llms/tongyi.py
@@ -106,7 +106,7 @@ def lc_secrets(self) -> Dict[str, str]:
 
     @classmethod
     def is_lc_serializable(cls) -> bool:
-        return True
+        return False
 
     client: Any  #: :meta private:
     model_name: str = "qwen-plus-v1"
diff --git a/libs/langchain/langchain/llms/vllm.py b/libs/langchain/langchain/llms/vllm.py
index 4ccb5a743bee9..0b86ac6947b7a 100644
--- a/libs/langchain/langchain/llms/vllm.py
+++ b/libs/langchain/langchain/llms/vllm.py
@@ -147,6 +147,10 @@ def _llm_type(self) -> str:
 class VLLMOpenAI(BaseOpenAI):
     """vLLM OpenAI-compatible API client"""
 
+    @classmethod
+    def is_lc_serializable(cls) -> bool:
+        return False
+
     @property
     def _invocation_params(self) -> Dict[str, Any]:
         """Get the parameters used to invoke the model."""
diff --git a/libs/langchain/langchain/llms/watsonxllm.py b/libs/langchain/langchain/llms/watsonxllm.py
index 40005437816bf..a316da2fb544c 100644
--- a/libs/langchain/langchain/llms/watsonxllm.py
+++ b/libs/langchain/langchain/llms/watsonxllm.py
@@ -97,7 +97,7 @@ class Config:
 
     @classmethod
     def is_lc_serializable(cls) -> bool:
-        return True
+        return False
 
     @property
     def lc_secrets(self) -> Dict[str, str]: