diff --git a/libs/langchain/langchain/agents/openai_functions_agent/base.py b/libs/langchain/langchain/agents/openai_functions_agent/base.py
index 458d34967d9..807be61e8c6 100644
--- a/libs/langchain/langchain/agents/openai_functions_agent/base.py
+++ b/libs/langchain/langchain/agents/openai_functions_agent/base.py
@@ -277,7 +277,7 @@ class OpenAIFunctionsAgent(BaseSingleActionAgent):
             extra_prompt_messages=extra_prompt_messages,
             system_message=system_message_,
         )
-        return cls(  # type: ignore[call-arg]
+        return cls(
             llm=llm,
             prompt=prompt,
             tools=tools,
diff --git a/libs/langchain/langchain/agents/openai_functions_multi_agent/base.py b/libs/langchain/langchain/agents/openai_functions_multi_agent/base.py
index a32bb2e503e..03032dd13d8 100644
--- a/libs/langchain/langchain/agents/openai_functions_multi_agent/base.py
+++ b/libs/langchain/langchain/agents/openai_functions_multi_agent/base.py
@@ -328,7 +328,7 @@ class OpenAIMultiFunctionsAgent(BaseMultiActionAgent):
             extra_prompt_messages=extra_prompt_messages,
             system_message=system_message_,
         )
-        return cls(  # type: ignore[call-arg]
+        return cls(
             llm=llm,
             prompt=prompt,
             tools=tools,
diff --git a/libs/langchain/langchain/chains/llm_checker/base.py b/libs/langchain/langchain/chains/llm_checker/base.py
index 970666e5578..bc57727a25f 100644
--- a/libs/langchain/langchain/chains/llm_checker/base.py
+++ b/libs/langchain/langchain/chains/llm_checker/base.py
@@ -56,7 +56,7 @@ def _load_question_to_checked_assertions_chain(
         revised_answer_chain,
     ]
     return SequentialChain(
-        chains=chains,  # type: ignore[arg-type]
+        chains=chains,
         input_variables=["question"],
         output_variables=["revised_statement"],
         verbose=True,
diff --git a/libs/langchain/langchain/chains/loading.py b/libs/langchain/langchain/chains/loading.py
index 174f8e3a504..e6d6c359fa4 100644
--- a/libs/langchain/langchain/chains/loading.py
+++ b/libs/langchain/langchain/chains/loading.py
@@ -169,7 +169,7 @@ def _load_map_reduce_documents_chain(
 
     return MapReduceDocumentsChain(
         llm_chain=llm_chain,
-        reduce_documents_chain=reduce_documents_chain,  # type: ignore[arg-type]
+        reduce_documents_chain=reduce_documents_chain,
         **config,
     )
 
@@ -293,10 +293,10 @@ def _load_llm_checker_chain(config: dict, **kwargs: Any) -> LLMCheckerChain:
         revised_answer_prompt = load_prompt(config.pop("revised_answer_prompt_path"))
     return LLMCheckerChain(
         llm=llm,
-        create_draft_answer_prompt=create_draft_answer_prompt,  # type: ignore[arg-type]
-        list_assertions_prompt=list_assertions_prompt,  # type: ignore[arg-type]
-        check_assertions_prompt=check_assertions_prompt,  # type: ignore[arg-type]
-        revised_answer_prompt=revised_answer_prompt,  # type: ignore[arg-type]
+        create_draft_answer_prompt=create_draft_answer_prompt,
+        list_assertions_prompt=list_assertions_prompt,
+        check_assertions_prompt=check_assertions_prompt,
+        revised_answer_prompt=revised_answer_prompt,
         **config,
     )
 
@@ -325,7 +325,7 @@ def _load_llm_math_chain(config: dict, **kwargs: Any) -> LLMMathChain:
     elif "prompt_path" in config:
         prompt = load_prompt(config.pop("prompt_path"))
     if llm_chain:
-        return LLMMathChain(llm_chain=llm_chain, prompt=prompt, **config)  # type: ignore[arg-type]
+        return LLMMathChain(llm_chain=llm_chain, prompt=prompt, **config)
     return LLMMathChain(llm=llm, prompt=prompt, **config)
 
 
@@ -341,7 +341,7 @@ def _load_map_rerank_documents_chain(
     else:
         msg = "One of `llm_chain` or `llm_chain_path` must be present."
         raise ValueError(msg)
-    return MapRerankDocumentsChain(llm_chain=llm_chain, **config)  # type: ignore[arg-type]
+    return MapRerankDocumentsChain(llm_chain=llm_chain, **config)
 
 
 def _load_pal_chain(config: dict, **kwargs: Any) -> Any:
@@ -377,8 +377,8 @@ def _load_refine_documents_chain(config: dict, **kwargs: Any) -> RefineDocuments
     elif "document_prompt_path" in config:
         document_prompt = load_prompt(config.pop("document_prompt_path"))
     return RefineDocumentsChain(
-        initial_llm_chain=initial_llm_chain,  # type: ignore[arg-type]
-        refine_llm_chain=refine_llm_chain,  # type: ignore[arg-type]
+        initial_llm_chain=initial_llm_chain,
+        refine_llm_chain=refine_llm_chain,
         document_prompt=document_prompt,
         **config,
     )
@@ -402,7 +402,7 @@ def _load_qa_with_sources_chain(config: dict, **kwargs: Any) -> QAWithSourcesCha
             "`combine_documents_chain_path` must be present."
         )
         raise ValueError(msg)
-    return QAWithSourcesChain(combine_documents_chain=combine_documents_chain, **config)  # type: ignore[arg-type]
+    return QAWithSourcesChain(combine_documents_chain=combine_documents_chain, **config)
 
 
 def _load_sql_database_chain(config: dict, **kwargs: Any) -> Any:
@@ -445,7 +445,7 @@ def _load_vector_db_qa_with_sources_chain(
         )
         raise ValueError(msg)
     return VectorDBQAWithSourcesChain(
-        combine_documents_chain=combine_documents_chain,  # type: ignore[arg-type]
+        combine_documents_chain=combine_documents_chain,
         vectorstore=vectorstore,
         **config,
     )
@@ -475,7 +475,7 @@ def _load_retrieval_qa(config: dict, **kwargs: Any) -> RetrievalQA:
         )
         raise ValueError(msg)
     return RetrievalQA(
-        combine_documents_chain=combine_documents_chain,  # type: ignore[arg-type]
+        combine_documents_chain=combine_documents_chain,
         retriever=retriever,
         **config,
     )
@@ -508,7 +508,7 @@ def _load_retrieval_qa_with_sources_chain(
         )
         raise ValueError(msg)
     return RetrievalQAWithSourcesChain(
-        combine_documents_chain=combine_documents_chain,  # type: ignore[arg-type]
+        combine_documents_chain=combine_documents_chain,
         retriever=retriever,
         **config,
     )
@@ -538,7 +538,7 @@ def _load_vector_db_qa(config: dict, **kwargs: Any) -> VectorDBQA:
         )
         raise ValueError(msg)
     return VectorDBQA(
-        combine_documents_chain=combine_documents_chain,  # type: ignore[arg-type]
+        combine_documents_chain=combine_documents_chain,
         vectorstore=vectorstore,
         **config,
     )
@@ -606,8 +606,8 @@ def _load_api_chain(config: dict, **kwargs: Any) -> APIChain:
         msg = "`requests_wrapper` must be present."
         raise ValueError(msg)
     return APIChain(
-        api_request_chain=api_request_chain,  # type: ignore[arg-type]
-        api_answer_chain=api_answer_chain,  # type: ignore[arg-type]
+        api_request_chain=api_request_chain,
+        api_answer_chain=api_answer_chain,
         requests_wrapper=requests_wrapper,
         **config,
     )
diff --git a/libs/langchain/langchain/chains/qa_with_sources/loading.py b/libs/langchain/langchain/chains/qa_with_sources/loading.py
index 0d480e9f9d9..11a2462bdb7 100644
--- a/libs/langchain/langchain/chains/qa_with_sources/loading.py
+++ b/libs/langchain/langchain/chains/qa_with_sources/loading.py
@@ -66,12 +66,12 @@ def _load_stuff_chain(
     verbose: Optional[bool] = None,
     **kwargs: Any,
 ) -> StuffDocumentsChain:
-    llm_chain = LLMChain(llm=llm, prompt=prompt, verbose=verbose)  # type: ignore[arg-type]
+    llm_chain = LLMChain(llm=llm, prompt=prompt, verbose=verbose)
     return StuffDocumentsChain(
         llm_chain=llm_chain,
         document_variable_name=document_variable_name,
         document_prompt=document_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         **kwargs,
     )
 
@@ -91,14 +91,14 @@ def _load_map_reduce_chain(
     token_max: int = 3000,
     **kwargs: Any,
 ) -> MapReduceDocumentsChain:
-    map_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)  # type: ignore[arg-type]
+    map_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)
     _reduce_llm = reduce_llm or llm
-    reduce_chain = LLMChain(llm=_reduce_llm, prompt=combine_prompt, verbose=verbose)  # type: ignore[arg-type]
+    reduce_chain = LLMChain(llm=_reduce_llm, prompt=combine_prompt, verbose=verbose)
     combine_documents_chain = StuffDocumentsChain(
         llm_chain=reduce_chain,
         document_variable_name=combine_document_variable_name,
         document_prompt=document_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
     )
     if collapse_prompt is None:
         collapse_chain = None
@@ -114,7 +114,7 @@ def _load_map_reduce_chain(
             llm_chain=LLMChain(
                 llm=_collapse_llm,
                 prompt=collapse_prompt,
-                verbose=verbose,  # type: ignore[arg-type]
+                verbose=verbose,
             ),
             document_variable_name=combine_document_variable_name,
             document_prompt=document_prompt,
@@ -123,13 +123,13 @@ def _load_map_reduce_chain(
         combine_documents_chain=combine_documents_chain,
         collapse_documents_chain=collapse_chain,
         token_max=token_max,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
     )
     return MapReduceDocumentsChain(
         llm_chain=map_chain,
         reduce_documents_chain=reduce_documents_chain,
         document_variable_name=map_reduce_document_variable_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         **kwargs,
     )
 
@@ -146,16 +146,16 @@ def _load_refine_chain(
     verbose: Optional[bool] = None,
     **kwargs: Any,
 ) -> RefineDocumentsChain:
-    initial_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)  # type: ignore[arg-type]
+    initial_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)
     _refine_llm = refine_llm or llm
-    refine_chain = LLMChain(llm=_refine_llm, prompt=refine_prompt, verbose=verbose)  # type: ignore[arg-type]
+    refine_chain = LLMChain(llm=_refine_llm, prompt=refine_prompt, verbose=verbose)
     return RefineDocumentsChain(
         initial_llm_chain=initial_chain,
         refine_llm_chain=refine_chain,
         document_variable_name=document_variable_name,
         initial_response_name=initial_response_name,
         document_prompt=document_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         **kwargs,
     )
 
diff --git a/libs/langchain/langchain/chains/question_answering/chain.py b/libs/langchain/langchain/chains/question_answering/chain.py
index f4398aab200..e8a29f674d4 100644
--- a/libs/langchain/langchain/chains/question_answering/chain.py
+++ b/libs/langchain/langchain/chains/question_answering/chain.py
@@ -80,7 +80,7 @@ def _load_stuff_chain(
     llm_chain = LLMChain(
         llm=llm,
         prompt=_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
     )
@@ -88,7 +88,7 @@ def _load_stuff_chain(
     return StuffDocumentsChain(
         llm_chain=llm_chain,
         document_variable_name=document_variable_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
         **kwargs,
@@ -120,7 +120,7 @@ def _load_map_reduce_chain(
     map_chain = LLMChain(
         llm=llm,
         prompt=_question_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
     )
@@ -128,7 +128,7 @@ def _load_map_reduce_chain(
     reduce_chain = LLMChain(
         llm=_reduce_llm,
         prompt=_combine_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
     )
@@ -136,7 +136,7 @@ def _load_map_reduce_chain(
     combine_documents_chain = StuffDocumentsChain(
         llm_chain=reduce_chain,
         document_variable_name=combine_document_variable_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
     )
@@ -154,12 +154,12 @@ def _load_map_reduce_chain(
             llm_chain=LLMChain(
                 llm=_collapse_llm,
                 prompt=collapse_prompt,
-                verbose=verbose,  # type: ignore[arg-type]
+                verbose=verbose,
                 callback_manager=callback_manager,
                 callbacks=callbacks,
             ),
             document_variable_name=combine_document_variable_name,
-            verbose=verbose,  # type: ignore[arg-type]
+            verbose=verbose,
             callback_manager=callback_manager,
         )
     reduce_documents_chain = ReduceDocumentsChain(
@@ -172,7 +172,7 @@ def _load_map_reduce_chain(
         llm_chain=map_chain,
         document_variable_name=map_reduce_document_variable_name,
         reduce_documents_chain=reduce_documents_chain,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
         **kwargs,
@@ -201,7 +201,7 @@ def _load_refine_chain(
     initial_chain = LLMChain(
         llm=llm,
         prompt=_question_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
     )
@@ -209,7 +209,7 @@ def _load_refine_chain(
     refine_chain = LLMChain(
         llm=_refine_llm,
         prompt=_refine_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
     )
@@ -218,7 +218,7 @@ def _load_refine_chain(
         refine_llm_chain=refine_chain,
         document_variable_name=document_variable_name,
         initial_response_name=initial_response_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callback_manager=callback_manager,
         callbacks=callbacks,
         **kwargs,
diff --git a/libs/langchain/langchain/chains/summarize/chain.py b/libs/langchain/langchain/chains/summarize/chain.py
index acced32963e..6a118f7ca24 100644
--- a/libs/langchain/langchain/chains/summarize/chain.py
+++ b/libs/langchain/langchain/chains/summarize/chain.py
@@ -35,12 +35,12 @@ def _load_stuff_chain(
     verbose: Optional[bool] = None,
     **kwargs: Any,
 ) -> StuffDocumentsChain:
-    llm_chain = LLMChain(llm=llm, prompt=prompt, verbose=verbose)  # type: ignore[arg-type]
+    llm_chain = LLMChain(llm=llm, prompt=prompt, verbose=verbose)
     # TODO: document prompt
     return StuffDocumentsChain(
         llm_chain=llm_chain,
         document_variable_name=document_variable_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         **kwargs,
     )
 
@@ -64,21 +64,21 @@ def _load_map_reduce_chain(
     map_chain = LLMChain(
         llm=llm,
         prompt=map_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callbacks=callbacks,
     )
     _reduce_llm = reduce_llm or llm
     reduce_chain = LLMChain(
         llm=_reduce_llm,
         prompt=combine_prompt,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callbacks=callbacks,
     )
     # TODO: document prompt
     combine_documents_chain = StuffDocumentsChain(
         llm_chain=reduce_chain,
         document_variable_name=combine_document_variable_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callbacks=callbacks,
     )
     if collapse_prompt is None:
@@ -95,7 +95,7 @@ def _load_map_reduce_chain(
             llm_chain=LLMChain(
                 llm=_collapse_llm,
                 prompt=collapse_prompt,
-                verbose=verbose,  # type: ignore[arg-type]
+                verbose=verbose,
                 callbacks=callbacks,
             ),
             document_variable_name=combine_document_variable_name,
@@ -104,7 +104,7 @@ def _load_map_reduce_chain(
         combine_documents_chain=combine_documents_chain,
         collapse_documents_chain=collapse_chain,
         token_max=token_max,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callbacks=callbacks,
         collapse_max_retries=collapse_max_retries,
     )
@@ -112,7 +112,7 @@ def _load_map_reduce_chain(
         llm_chain=map_chain,
         reduce_documents_chain=reduce_documents_chain,
         document_variable_name=map_reduce_document_variable_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         callbacks=callbacks,
         **kwargs,
     )
@@ -129,15 +129,15 @@ def _load_refine_chain(
     verbose: Optional[bool] = None,
     **kwargs: Any,
 ) -> RefineDocumentsChain:
-    initial_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)  # type: ignore[arg-type]
+    initial_chain = LLMChain(llm=llm, prompt=question_prompt, verbose=verbose)
     _refine_llm = refine_llm or llm
-    refine_chain = LLMChain(llm=_refine_llm, prompt=refine_prompt, verbose=verbose)  # type: ignore[arg-type]
+    refine_chain = LLMChain(llm=_refine_llm, prompt=refine_prompt, verbose=verbose)
     return RefineDocumentsChain(
         initial_llm_chain=initial_chain,
         refine_llm_chain=refine_chain,
         document_variable_name=document_variable_name,
         initial_response_name=initial_response_name,
-        verbose=verbose,  # type: ignore[arg-type]
+        verbose=verbose,
         **kwargs,
     )
 
diff --git a/libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py b/libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py
index c11c5dfa7bf..80c591925ae 100644
--- a/libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py
+++ b/libs/langchain/langchain/evaluation/agents/trajectory_eval_chain.py
@@ -250,7 +250,7 @@ The following is the expected answer. Use this to measure correctness:
         prompt = EVAL_CHAT_PROMPT if agent_tools else TOOL_FREE_EVAL_CHAT_PROMPT
         eval_chain = LLMChain(llm=llm, prompt=prompt)
         return cls(
-            agent_tools=agent_tools,  # type: ignore[arg-type]
+            agent_tools=agent_tools,
             eval_chain=eval_chain,
             output_parser=output_parser or TrajectoryOutputParser(),
             **kwargs,
diff --git a/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py b/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py
index 8b7f75bc28a..c5f5f518071 100644
--- a/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py
+++ b/libs/langchain/langchain/retrievers/document_compressors/chain_extract.py
@@ -120,4 +120,4 @@ class LLMChainExtractor(BaseDocumentCompressor):
         else:
             parser = StrOutputParser()
         llm_chain = _prompt | llm | parser
-        return cls(llm_chain=llm_chain, get_input=_get_input)  # type: ignore[arg-type]
+        return cls(llm_chain=llm_chain, get_input=_get_input)
diff --git a/libs/langchain/langchain/retrievers/self_query/base.py b/libs/langchain/langchain/retrievers/self_query/base.py
index ba15288307c..dfbe5f709b2 100644
--- a/libs/langchain/langchain/retrievers/self_query/base.py
+++ b/libs/langchain/langchain/retrievers/self_query/base.py
@@ -407,7 +407,7 @@ class SelfQueryRetriever(BaseRetriever):
         query_constructor = query_constructor.with_config(
             run_name=QUERY_CONSTRUCTOR_RUN_NAME,
         )
-        return cls(  # type: ignore[call-arg]
+        return cls(
             query_constructor=query_constructor,
             vectorstore=vectorstore,
             use_original_query=use_original_query,
diff --git a/libs/langchain/langchain/runnables/hub.py b/libs/langchain/langchain/runnables/hub.py
index 92a50374416..6036360e715 100644
--- a/libs/langchain/langchain/runnables/hub.py
+++ b/libs/langchain/langchain/runnables/hub.py
@@ -4,7 +4,7 @@ from langchain_core.runnables.base import RunnableBindingBase
 from langchain_core.runnables.utils import Input, Output
 
 
-class HubRunnable(RunnableBindingBase[Input, Output]):
+class HubRunnable(RunnableBindingBase[Input, Output]):  # type: ignore[no-redef]
     """
     An instance of a runnable stored in the LangChain Hub.
     """
diff --git a/libs/langchain/langchain/runnables/openai_functions.py b/libs/langchain/langchain/runnables/openai_functions.py
index e6c0111c8e9..5ac5119898e 100644
--- a/libs/langchain/langchain/runnables/openai_functions.py
+++ b/libs/langchain/langchain/runnables/openai_functions.py
@@ -20,7 +20,7 @@ class OpenAIFunction(TypedDict):
     """The parameters to the function."""
 
 
-class OpenAIFunctionsRouter(RunnableBindingBase[BaseMessage, Any]):
+class OpenAIFunctionsRouter(RunnableBindingBase[BaseMessage, Any]):  # type: ignore[no-redef]
     """A runnable that routes to the selected function."""
 
     functions: Optional[list[OpenAIFunction]]
diff --git a/libs/langchain/pyproject.toml b/libs/langchain/pyproject.toml
index f209169ee12..ba52ac1ed8a 100644
--- a/libs/langchain/pyproject.toml
+++ b/libs/langchain/pyproject.toml
@@ -124,6 +124,7 @@ target-version = "py39"
 exclude = ["tests/integration_tests/examples/non-utf8-encoding.py"]
 
 [tool.mypy]
+plugins = ["pydantic.mypy"]
 strict = "True"
 strict_bytes = "True"
 ignore_missing_imports = "True"
diff --git a/libs/langchain/tests/unit_tests/chains/test_conversation_retrieval.py b/libs/langchain/tests/unit_tests/chains/test_conversation_retrieval.py
index 905661165b2..d12627c1fec 100644
--- a/libs/langchain/tests/unit_tests/chains/test_conversation_retrieval.py
+++ b/libs/langchain/tests/unit_tests/chains/test_conversation_retrieval.py
@@ -15,7 +15,7 @@ async def test_simplea() -> None:
     answer = "I know the answer!"
     llm = FakeListLLM(responses=[answer])
     retriever = SequentialRetriever(sequential_responses=[[]])
-    memory = ConversationBufferMemory(  # type: ignore[call-arg]
+    memory = ConversationBufferMemory(
         k=1,
         output_key="answer",
         memory_key="chat_history",
@@ -42,7 +42,7 @@ async def test_fixed_message_response_when_docs_founda() -> None:
     retriever = SequentialRetriever(
         sequential_responses=[[Document(page_content=answer)]],
     )
-    memory = ConversationBufferMemory(  # type: ignore[call-arg]
+    memory = ConversationBufferMemory(
         k=1,
         output_key="answer",
         memory_key="chat_history",
@@ -67,7 +67,7 @@ def test_fixed_message_response_when_no_docs_found() -> None:
     answer = "I know the answer!"
     llm = FakeListLLM(responses=[answer])
     retriever = SequentialRetriever(sequential_responses=[[]])
-    memory = ConversationBufferMemory(  # type: ignore[call-arg]
+    memory = ConversationBufferMemory(
         k=1,
         output_key="answer",
         memory_key="chat_history",
@@ -94,7 +94,7 @@ def test_fixed_message_response_when_docs_found() -> None:
     retriever = SequentialRetriever(
         sequential_responses=[[Document(page_content=answer)]],
     )
-    memory = ConversationBufferMemory(  # type: ignore[call-arg]
+    memory = ConversationBufferMemory(
         k=1,
         output_key="answer",
         memory_key="chat_history",
diff --git a/libs/langchain/tests/unit_tests/chains/test_transform.py b/libs/langchain/tests/unit_tests/chains/test_transform.py
index cf2ecaa1eb6..578d5630049 100644
--- a/libs/langchain/tests/unit_tests/chains/test_transform.py
+++ b/libs/langchain/tests/unit_tests/chains/test_transform.py
@@ -16,7 +16,7 @@ def dummy_transform(inputs: dict[str, str]) -> dict[str, str]:
 
 def test_transform_chain() -> None:
     """Test basic transform chain."""
-    transform_chain = TransformChain(  # type: ignore[call-arg]
+    transform_chain = TransformChain(
         input_variables=["first_name", "last_name"],
         output_variables=["greeting"],
         transform=dummy_transform,
@@ -29,7 +29,7 @@ def test_transform_chain() -> None:
 
 def test_transform_chain_bad_inputs() -> None:
     """Test basic transform chain."""
-    transform_chain = TransformChain(  # type: ignore[call-arg]
+    transform_chain = TransformChain(
         input_variables=["first_name", "last_name"],
         output_variables=["greeting"],
         transform=dummy_transform,
diff --git a/libs/langchain/tests/unit_tests/load/test_dump.py b/libs/langchain/tests/unit_tests/load/test_dump.py
index dfbfc9a8778..ed4dc7982af 100644
--- a/libs/langchain/tests/unit_tests/load/test_dump.py
+++ b/libs/langchain/tests/unit_tests/load/test_dump.py
@@ -116,9 +116,9 @@ class TestClass(Serializable):
 
 def test_aliases_hidden() -> None:
     test_class = TestClass(
-        my_favorite_secret="hello",  # noqa: S106 # type: ignore[call-arg]
+        my_favorite_secret="hello",  # noqa: S106
         my_other_secret="world",  # noqa: S106
-    )  # type: ignore[call-arg]
+    )
     dumped = json.loads(dumps(test_class, pretty=True))
     expected_dump = {
         "lc": 1,
@@ -143,7 +143,7 @@ def test_aliases_hidden() -> None:
         dumped = json.loads(dumps(test_class, pretty=True))
 
     # Check by alias
-    test_class = TestClass(
+    test_class = TestClass(  # type: ignore[call-arg]
         my_favorite_secret_alias="hello",  # noqa: S106
         my_other_secret="parrot party",  # noqa: S106
     )
diff --git a/libs/langchain/tests/unit_tests/load/test_load.py b/libs/langchain/tests/unit_tests/load/test_load.py
index aa3fb1065ba..1a14f01b53e 100644
--- a/libs/langchain/tests/unit_tests/load/test_load.py
+++ b/libs/langchain/tests/unit_tests/load/test_load.py
@@ -162,7 +162,7 @@ def test_load_llmchain_with_non_serializable_arg() -> None:
     import httpx
     from langchain_openai import OpenAI
 
-    llm = OpenAI(  # type: ignore[call-arg]
+    llm = OpenAI(
         model="davinci",
         temperature=0.5,
         openai_api_key="hello",
diff --git a/libs/langchain/tests/unit_tests/output_parsers/test_retry.py b/libs/langchain/tests/unit_tests/output_parsers/test_retry.py
index 12b436f73b1..d10aa8b3f85 100644
--- a/libs/langchain/tests/unit_tests/output_parsers/test_retry.py
+++ b/libs/langchain/tests/unit_tests/output_parsers/test_retry.py
@@ -37,7 +37,7 @@ class SuccessfulParseAfterRetries(BaseOutputParser[str]):
 def test_retry_output_parser_parse_with_prompt() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n,  # n times to retry, that is, (n+1) times call
@@ -51,7 +51,7 @@ def test_retry_output_parser_parse_with_prompt() -> None:
 def test_retry_output_parser_parse_with_prompt_fail() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n - 1,  # n-1 times to retry, that is, n times call
@@ -65,7 +65,7 @@ def test_retry_output_parser_parse_with_prompt_fail() -> None:
 async def test_retry_output_parser_aparse_with_prompt() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n,  # n times to retry, that is, (n+1) times call
@@ -82,7 +82,7 @@ async def test_retry_output_parser_aparse_with_prompt() -> None:
 async def test_retry_output_parser_aparse_with_prompt_fail() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n - 1,  # n-1 times to retry, that is, n times call
@@ -101,7 +101,7 @@ async def test_retry_output_parser_aparse_with_prompt_fail() -> None:
     ],
 )
 def test_retry_output_parser_output_type(base_parser: BaseOutputParser) -> None:
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[BaseOutputParser](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         legacy=False,
@@ -110,7 +110,7 @@ def test_retry_output_parser_output_type(base_parser: BaseOutputParser) -> None:
 
 
 def test_retry_output_parser_parse_is_not_implemented() -> None:
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[BooleanOutputParser](
         parser=BooleanOutputParser(),
         retry_chain=RunnablePassthrough(),
         legacy=False,
@@ -122,7 +122,7 @@ def test_retry_output_parser_parse_is_not_implemented() -> None:
 def test_retry_with_error_output_parser_parse_with_prompt() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n,  # n times to retry, that is, (n+1) times call
@@ -136,7 +136,7 @@ def test_retry_with_error_output_parser_parse_with_prompt() -> None:
 def test_retry_with_error_output_parser_parse_with_prompt_fail() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n - 1,  # n-1 times to retry, that is, n times call
@@ -150,7 +150,7 @@ def test_retry_with_error_output_parser_parse_with_prompt_fail() -> None:
 async def test_retry_with_error_output_parser_aparse_with_prompt() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n,  # n times to retry, that is, (n+1) times call
@@ -167,7 +167,7 @@ async def test_retry_with_error_output_parser_aparse_with_prompt() -> None:
 async def test_retry_with_error_output_parser_aparse_with_prompt_fail() -> None:
     n: int = 5  # Success on the (n+1)-th attempt
     base_parser = SuccessfulParseAfterRetries(attemp_count_before_success=n)
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[SuccessfulParseAfterRetries](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         max_retries=n - 1,  # n-1 times to retry, that is, n times call
@@ -188,7 +188,7 @@ async def test_retry_with_error_output_parser_aparse_with_prompt_fail() -> None:
 def test_retry_with_error_output_parser_output_type(
     base_parser: BaseOutputParser,
 ) -> None:
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[BaseOutputParser](
         parser=base_parser,
         retry_chain=RunnablePassthrough(),
         legacy=False,
@@ -197,7 +197,7 @@ def test_retry_with_error_output_parser_output_type(
 
 
 def test_retry_with_error_output_parser_parse_is_not_implemented() -> None:
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[BooleanOutputParser](
         parser=BooleanOutputParser(),
         retry_chain=RunnablePassthrough(),
         legacy=False,
@@ -222,11 +222,11 @@ def test_retry_with_error_output_parser_parse_is_not_implemented() -> None:
 def test_retry_output_parser_parse_with_prompt_with_retry_chain(
     completion: str,
     prompt: PromptValue,
-    base_parser: BaseOutputParser[T],
+    base_parser: DatetimeOutputParser,
     retry_chain: Runnable[dict[str, Any], str],
-    expected: T,
+    expected: dt,
 ) -> None:
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[DatetimeOutputParser](
         parser=base_parser,
         retry_chain=retry_chain,
         legacy=False,
@@ -250,12 +250,12 @@ def test_retry_output_parser_parse_with_prompt_with_retry_chain(
 async def test_retry_output_parser_aparse_with_prompt_with_retry_chain(
     completion: str,
     prompt: PromptValue,
-    base_parser: BaseOutputParser[T],
+    base_parser: DatetimeOutputParser,
     retry_chain: Runnable[dict[str, Any], str],
-    expected: T,
+    expected: dt,
 ) -> None:
     # test
-    parser = RetryOutputParser(
+    parser = RetryOutputParser[DatetimeOutputParser](
         parser=base_parser,
         retry_chain=retry_chain,
         legacy=False,
@@ -279,12 +279,12 @@ async def test_retry_output_parser_aparse_with_prompt_with_retry_chain(
 def test_retry_with_error_output_parser_parse_with_prompt_with_retry_chain(
     completion: str,
     prompt: PromptValue,
-    base_parser: BaseOutputParser[T],
+    base_parser: DatetimeOutputParser,
     retry_chain: Runnable[dict[str, Any], str],
-    expected: T,
+    expected: dt,
 ) -> None:
     # test
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[DatetimeOutputParser](
         parser=base_parser,
         retry_chain=retry_chain,
         legacy=False,
@@ -308,11 +308,11 @@ def test_retry_with_error_output_parser_parse_with_prompt_with_retry_chain(
 async def test_retry_with_error_output_parser_aparse_with_prompt_with_retry_chain(
     completion: str,
     prompt: PromptValue,
-    base_parser: BaseOutputParser[T],
+    base_parser: DatetimeOutputParser,
     retry_chain: Runnable[dict[str, Any], str],
-    expected: T,
+    expected: dt,
 ) -> None:
-    parser = RetryWithErrorOutputParser(
+    parser = RetryWithErrorOutputParser[DatetimeOutputParser](
         parser=base_parser,
         retry_chain=retry_chain,
         legacy=False,
diff --git a/libs/langchain/tests/unit_tests/output_parsers/test_yaml_parser.py b/libs/langchain/tests/unit_tests/output_parsers/test_yaml_parser.py
index 09742525290..b5f0c3d3f94 100644
--- a/libs/langchain/tests/unit_tests/output_parsers/test_yaml_parser.py
+++ b/libs/langchain/tests/unit_tests/output_parsers/test_yaml_parser.py
@@ -95,5 +95,5 @@ def test_yaml_output_parser_fail() -> None:
 
 def test_yaml_output_parser_output_type() -> None:
     """Test YamlOutputParser OutputType."""
-    yaml_parser = YamlOutputParser(pydantic_object=TestModel)
+    yaml_parser = YamlOutputParser[TestModel](pydantic_object=TestModel)
     assert yaml_parser.OutputType is TestModel
diff --git a/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_listwise_rerank.py b/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_listwise_rerank.py
index d57d9f2cffc..05de2cd6845 100644
--- a/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_listwise_rerank.py
+++ b/libs/langchain/tests/unit_tests/retrievers/document_compressors/test_listwise_rerank.py
@@ -8,6 +8,6 @@ def test__list_rerank_init() -> None:
     from langchain_openai import ChatOpenAI
 
     LLMListwiseRerank.from_llm(
-        llm=ChatOpenAI(api_key="foo"),  # type: ignore[arg-type]
+        llm=ChatOpenAI(api_key="foo"),
         top_n=10,
     )
diff --git a/libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py b/libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py
index b908f0f7ac0..3947d9eff29 100644
--- a/libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py
+++ b/libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py
@@ -43,7 +43,7 @@ class InMemoryVectorstoreWithSearch(InMemoryVectorStore):
 
 def test_multi_vector_retriever_initialization() -> None:
     vectorstore = InMemoryVectorstoreWithSearch()
-    retriever = MultiVectorRetriever(  # type: ignore[call-arg]
+    retriever = MultiVectorRetriever(
         vectorstore=vectorstore,
         docstore=InMemoryStore(),
         doc_id="doc_id",
@@ -58,7 +58,7 @@ def test_multi_vector_retriever_initialization() -> None:
 
 async def test_multi_vector_retriever_initialization_async() -> None:
     vectorstore = InMemoryVectorstoreWithSearch()
-    retriever = MultiVectorRetriever(  # type: ignore[call-arg]
+    retriever = MultiVectorRetriever(
         vectorstore=vectorstore,
         docstore=InMemoryStore(),
         doc_id="doc_id",
@@ -77,7 +77,7 @@ def test_multi_vector_retriever_similarity_search_with_score() -> None:
     vectorstore.add_documents(documents, ids=["1"])
 
     # score_threshold = 0.5
-    retriever = MultiVectorRetriever(  # type: ignore[call-arg]
+    retriever = MultiVectorRetriever(
         vectorstore=vectorstore,
         docstore=InMemoryStore(),
         doc_id="doc_id",
@@ -90,7 +90,7 @@ def test_multi_vector_retriever_similarity_search_with_score() -> None:
     assert results[0].page_content == "test document"
 
     # score_threshold = 0.9
-    retriever = MultiVectorRetriever(  # type: ignore[call-arg]
+    retriever = MultiVectorRetriever(
         vectorstore=vectorstore,
         docstore=InMemoryStore(),
         doc_id="doc_id",
@@ -108,7 +108,7 @@ async def test_multi_vector_retriever_similarity_search_with_score_async() -> No
     await vectorstore.aadd_documents(documents, ids=["1"])
 
     # score_threshold = 0.5
-    retriever = MultiVectorRetriever(  # type: ignore[call-arg]
+    retriever = MultiVectorRetriever(
         vectorstore=vectorstore,
         docstore=InMemoryStore(),
         doc_id="doc_id",
@@ -121,7 +121,7 @@ async def test_multi_vector_retriever_similarity_search_with_score_async() -> No
     assert results[0].page_content == "test document"
 
     # score_threshold = 0.9
-    retriever = MultiVectorRetriever(  # type: ignore[call-arg]
+    retriever = MultiVectorRetriever(
         vectorstore=vectorstore,
         docstore=InMemoryStore(),
         doc_id="doc_id",
diff --git a/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py b/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py
index c35ae88893e..3668b60e9e5 100644
--- a/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py
+++ b/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py
@@ -171,7 +171,7 @@ def test_run_llm_or_chain_with_input_mapper() -> None:
         assert "the right input" in inputs
         return {"output": "2"}
 
-    mock_chain = TransformChain(  # type: ignore[call-arg]
+    mock_chain = TransformChain(
         input_variables=["the right input"],
         output_variables=["output"],
         transform=run_val,