diff --git a/libs/community/langchain_community/chat_models/azure_openai.py b/libs/community/langchain_community/chat_models/azure_openai.py
index d70b9f760295d..e53112583a6e7 100644
--- a/libs/community/langchain_community/chat_models/azure_openai.py
+++ b/libs/community/langchain_community/chat_models/azure_openai.py
@@ -9,8 +9,8 @@
 
 from langchain_core._api.deprecation import deprecated
 from langchain_core.outputs import ChatResult
-from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.chat_models.openai import ChatOpenAI
 from langchain_community.utils.openai import is_openai_v1
@@ -106,7 +106,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "chat_models", "azure_openai"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         if values["n"] < 1:
diff --git a/libs/community/langchain_community/chat_models/edenai.py b/libs/community/langchain_community/chat_models/edenai.py
index 28dcb2347c543..0f16b0937bafa 100644
--- a/libs/community/langchain_community/chat_models/edenai.py
+++ b/libs/community/langchain_community/chat_models/edenai.py
@@ -50,11 +50,10 @@
     Extra,
     Field,
     SecretStr,
-    root_validator,
 )
 from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough
 from langchain_core.tools import BaseTool
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from langchain_core.utils.function_calling import convert_to_openai_tool
 
 from langchain_community.utilities.requests import Requests
@@ -300,7 +299,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         values["edenai_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/chat_models/google_palm.py b/libs/community/langchain_community/chat_models/google_palm.py
index 9fbb55abe33b0..28d1d9018ce44 100644
--- a/libs/community/langchain_community/chat_models/google_palm.py
+++ b/libs/community/langchain_community/chat_models/google_palm.py
@@ -21,8 +21,8 @@
     ChatGeneration,
     ChatResult,
 )
-from langchain_core.pydantic_v1 import BaseModel, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -261,7 +261,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "chat_models", "google_palm"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate api key, python package exists, temperature, top_p, and top_k."""
         google_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/chat_models/hunyuan.py b/libs/community/langchain_community/chat_models/hunyuan.py
index e7681d4155162..45ab921236709 100644
--- a/libs/community/langchain_community/chat_models/hunyuan.py
+++ b/libs/community/langchain_community/chat_models/hunyuan.py
@@ -29,6 +29,7 @@
     convert_to_secret_str,
     get_from_dict_or_env,
     get_pydantic_field_names,
+    pre_init,
 )
 
 logger = logging.getLogger(__name__)
@@ -190,7 +191,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         values["hunyuan_api_base"] = get_from_dict_or_env(
             values,
diff --git a/libs/community/langchain_community/chat_models/jinachat.py b/libs/community/langchain_community/chat_models/jinachat.py
index dae380092cc08..4e0a0f01ba21e 100644
--- a/libs/community/langchain_community/chat_models/jinachat.py
+++ b/libs/community/langchain_community/chat_models/jinachat.py
@@ -45,6 +45,7 @@
     convert_to_secret_str,
     get_from_dict_or_env,
     get_pydantic_field_names,
+    pre_init,
 )
 from tenacity import (
     before_sleep_log,
@@ -218,7 +219,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["jinachat_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/chat_models/kinetica.py b/libs/community/langchain_community/chat_models/kinetica.py
index 9362e550608c5..3724d82b38c1a 100644
--- a/libs/community/langchain_community/chat_models/kinetica.py
+++ b/libs/community/langchain_community/chat_models/kinetica.py
@@ -11,6 +11,8 @@
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, cast
 
+from langchain_core.utils import pre_init
+
 if TYPE_CHECKING:
     import gpudb
 
@@ -24,7 +26,7 @@
 )
 from langchain_core.output_parsers.transform import BaseOutputParser
 from langchain_core.outputs import ChatGeneration, ChatResult, Generation
-from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Field
 
 LOG = logging.getLogger(__name__)
 
@@ -341,7 +343,7 @@ class ChatKinetica(BaseChatModel):
     kdbc: Any = Field(exclude=True)
     """ Kinetica DB connection. """
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Pydantic object validator."""
 
diff --git a/libs/community/langchain_community/chat_models/konko.py b/libs/community/langchain_community/chat_models/konko.py
index efc6f64b27ed5..d4ee329d835dc 100644
--- a/libs/community/langchain_community/chat_models/konko.py
+++ b/libs/community/langchain_community/chat_models/konko.py
@@ -23,8 +23,8 @@
 )
 from langchain_core.messages import AIMessageChunk, BaseMessage
 from langchain_core.outputs import ChatGenerationChunk, ChatResult
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.adapters.openai import (
     convert_message_to_dict,
@@ -85,7 +85,7 @@ def is_lc_serializable(cls) -> bool:
     max_tokens: int = 20
     """Maximum number of tokens to generate."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["konko_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/chat_models/litellm.py b/libs/community/langchain_community/chat_models/litellm.py
index e57a5b0725257..a16cb187c4f7c 100644
--- a/libs/community/langchain_community/chat_models/litellm.py
+++ b/libs/community/langchain_community/chat_models/litellm.py
@@ -48,10 +48,10 @@
     ChatGenerationChunk,
     ChatResult,
 )
-from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.runnables import Runnable
 from langchain_core.tools import BaseTool
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 from langchain_core.utils.function_calling import convert_to_openai_tool
 
 logger = logging.getLogger(__name__)
@@ -249,7 +249,7 @@ def _completion_with_retry(**kwargs: Any) -> Any:
 
         return _completion_with_retry(**kwargs)
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate api key, python package exists, temperature, top_p, and top_k."""
         try:
diff --git a/libs/community/langchain_community/chat_models/moonshot.py b/libs/community/langchain_community/chat_models/moonshot.py
index 17966960e1e61..fd8a455f88847 100644
--- a/libs/community/langchain_community/chat_models/moonshot.py
+++ b/libs/community/langchain_community/chat_models/moonshot.py
@@ -2,10 +2,10 @@
 
 from typing import Dict
 
-from langchain_core.pydantic_v1 import root_validator
 from langchain_core.utils import (
     convert_to_secret_str,
     get_from_dict_or_env,
+    pre_init,
 )
 
 from langchain_community.chat_models import ChatOpenAI
@@ -29,7 +29,7 @@ class MoonshotChat(MoonshotCommon, ChatOpenAI):  # type: ignore[misc]
             moonshot = MoonshotChat(model="moonshot-v1-8k")
     """
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the environment is set up correctly."""
         values["moonshot_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/chat_models/octoai.py b/libs/community/langchain_community/chat_models/octoai.py
index a284989cd9b22..d799e1db7b7f5 100644
--- a/libs/community/langchain_community/chat_models/octoai.py
+++ b/libs/community/langchain_community/chat_models/octoai.py
@@ -2,8 +2,8 @@
 
 from typing import Dict
 
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.chat_models.openai import ChatOpenAI
 from langchain_community.utils.openai import is_openai_v1
@@ -48,7 +48,7 @@ def lc_secrets(self) -> Dict[str, str]:
     def is_lc_serializable(cls) -> bool:
         return False
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["octoai_api_base"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/chat_models/openai.py b/libs/community/langchain_community/chat_models/openai.py
index daea2c1050d81..3a0ae34511002 100644
--- a/libs/community/langchain_community/chat_models/openai.py
+++ b/libs/community/langchain_community/chat_models/openai.py
@@ -49,6 +49,7 @@
 from langchain_core.utils import (
     get_from_dict_or_env,
     get_pydantic_field_names,
+    pre_init,
 )
 
 from langchain_community.adapters.openai import (
@@ -274,7 +275,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         if values["n"] < 1:
diff --git a/libs/community/langchain_community/chat_models/premai.py b/libs/community/langchain_community/chat_models/premai.py
index b326434e9cc0c..311e94e763e8f 100644
--- a/libs/community/langchain_community/chat_models/premai.py
+++ b/libs/community/langchain_community/chat_models/premai.py
@@ -40,9 +40,8 @@
     Extra,
     Field,
     SecretStr,
-    root_validator,
 )
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 if TYPE_CHECKING:
     from premai.api.chat_completions.v1_chat_completions_create import (
@@ -249,7 +248,7 @@ class Config:
         allow_population_by_field_name = True
         arbitrary_types_allowed = True
 
-    @root_validator()
+    @pre_init
     def validate_environments(cls, values: Dict) -> Dict:
         """Validate that the package is installed and that the API token is valid"""
         try:
diff --git a/libs/community/langchain_community/chat_models/snowflake.py b/libs/community/langchain_community/chat_models/snowflake.py
index c25d2254f9704..f5af38afdd2a2 100644
--- a/libs/community/langchain_community/chat_models/snowflake.py
+++ b/libs/community/langchain_community/chat_models/snowflake.py
@@ -16,6 +16,7 @@
     convert_to_secret_str,
     get_from_dict_or_env,
     get_pydantic_field_names,
+    pre_init,
 )
 from langchain_core.utils.utils import build_extra_kwargs
 
@@ -135,7 +136,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         )
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         try:
             from snowflake.snowpark import Session
diff --git a/libs/community/langchain_community/chat_models/solar.py b/libs/community/langchain_community/chat_models/solar.py
index 417880757bb7d..8363d55895a55 100644
--- a/libs/community/langchain_community/chat_models/solar.py
+++ b/libs/community/langchain_community/chat_models/solar.py
@@ -3,8 +3,8 @@
 from typing import Dict
 
 from langchain_core._api import deprecated
-from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.llms.solar import SOLAR_SERVICE_URL_BASE, SolarCommon
@@ -37,7 +37,7 @@ class Config:
         arbitrary_types_allowed = True
         extra = "ignore"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the environment is set up correctly."""
         values["solar_api_key"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/chat_models/tongyi.py b/libs/community/langchain_community/chat_models/tongyi.py
index 939dd620d5dc7..7941aa07264ae 100644
--- a/libs/community/langchain_community/chat_models/tongyi.py
+++ b/libs/community/langchain_community/chat_models/tongyi.py
@@ -49,10 +49,10 @@
     ChatGenerationChunk,
     ChatResult,
 )
-from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr
 from langchain_core.runnables import Runnable
 from langchain_core.tools import BaseTool
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from langchain_core.utils.function_calling import convert_to_openai_tool
 from requests.exceptions import HTTPError
 from tenacity import (
@@ -431,7 +431,7 @@ def _llm_type(self) -> str:
         """Return type of llm."""
         return "tongyi"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["dashscope_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/chat_models/vertexai.py b/libs/community/langchain_community/chat_models/vertexai.py
index 39da4e4afc555..db038f615c142 100644
--- a/libs/community/langchain_community/chat_models/vertexai.py
+++ b/libs/community/langchain_community/chat_models/vertexai.py
@@ -27,7 +27,7 @@
     SystemMessage,
 )
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.vertexai import (
     _VertexAICommon,
@@ -225,7 +225,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "chat_models", "vertexai"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the python package exists in environment."""
         is_gemini = is_gemini_model(values["model_name"])
diff --git a/libs/community/langchain_community/chat_models/yuan2.py b/libs/community/langchain_community/chat_models/yuan2.py
index 87640ba048df3..0deb6394e92ea 100644
--- a/libs/community/langchain_community/chat_models/yuan2.py
+++ b/libs/community/langchain_community/chat_models/yuan2.py
@@ -44,6 +44,7 @@
 from langchain_core.utils import (
     get_from_dict_or_env,
     get_pydantic_field_names,
+    pre_init,
 )
 from tenacity import (
     before_sleep_log,
@@ -166,7 +167,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["yuan2_api_key"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/anyscale.py b/libs/community/langchain_community/embeddings/anyscale.py
index 135b0918bf235..831946a4da5a5 100644
--- a/libs/community/langchain_community/embeddings/anyscale.py
+++ b/libs/community/langchain_community/embeddings/anyscale.py
@@ -4,8 +4,8 @@
 
 from typing import Dict
 
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.embeddings.openai import OpenAIEmbeddings
 from langchain_community.utils.openai import is_openai_v1
@@ -34,7 +34,7 @@ def lc_secrets(self) -> Dict[str, str]:
             "anyscale_api_key": "ANYSCALE_API_KEY",
         }
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: dict) -> dict:
         """Validate that api key and python package exists in environment."""
         values["anyscale_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py b/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py
index 41bbd96984d56..d2b75578a3587 100644
--- a/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py
+++ b/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py
@@ -4,8 +4,8 @@
 from typing import Any, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -48,7 +48,7 @@ class QianfanEmbeddingsEndpoint(BaseModel, Embeddings):
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """extra params for model invoke using with `do`."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """
         Validate whether qianfan_ak and qianfan_sk in the environment variables or
diff --git a/libs/community/langchain_community/embeddings/deepinfra.py b/libs/community/langchain_community/embeddings/deepinfra.py
index 4dbc0e4dad89b..09f2c0dbe4828 100644
--- a/libs/community/langchain_community/embeddings/deepinfra.py
+++ b/libs/community/langchain_community/embeddings/deepinfra.py
@@ -2,8 +2,8 @@
 
 import requests
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 DEFAULT_MODEL_ID = "sentence-transformers/clip-ViT-B-32"
 MAX_BATCH_SIZE = 1024
@@ -59,7 +59,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         deepinfra_api_token = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/edenai.py b/libs/community/langchain_community/embeddings/edenai.py
index 9446969d332c5..7bebad4b608ae 100644
--- a/libs/community/langchain_community/embeddings/edenai.py
+++ b/libs/community/langchain_community/embeddings/edenai.py
@@ -6,9 +6,8 @@
     Extra,
     Field,
     SecretStr,
-    root_validator,
 )
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.utilities.requests import Requests
 
@@ -35,7 +34,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         values["edenai_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/embeddings/embaas.py b/libs/community/langchain_community/embeddings/embaas.py
index 00f23116bf4c0..9801267f4647d 100644
--- a/libs/community/langchain_community/embeddings/embaas.py
+++ b/libs/community/langchain_community/embeddings/embaas.py
@@ -2,8 +2,8 @@
 
 import requests
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from requests.adapters import HTTPAdapter, Retry
 from typing_extensions import NotRequired, TypedDict
 
@@ -61,7 +61,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         embaas_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/embeddings/ernie.py b/libs/community/langchain_community/embeddings/ernie.py
index b6bff742bd1e4..66888bbc68abf 100644
--- a/libs/community/langchain_community/embeddings/ernie.py
+++ b/libs/community/langchain_community/embeddings/ernie.py
@@ -6,9 +6,9 @@
 import requests
 from langchain_core._api.deprecation import deprecated
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
+from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables.config import run_in_executor
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -31,7 +31,7 @@ class ErnieEmbeddings(BaseModel, Embeddings):
 
     _lock = threading.Lock()
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         values["ernie_api_base"] = get_from_dict_or_env(
             values, "ernie_api_base", "ERNIE_API_BASE", "https://aip.baidubce.com"
diff --git a/libs/community/langchain_community/embeddings/fastembed.py b/libs/community/langchain_community/embeddings/fastembed.py
index 4f03ab70fe221..a5ebfdebda1ae 100644
--- a/libs/community/langchain_community/embeddings/fastembed.py
+++ b/libs/community/langchain_community/embeddings/fastembed.py
@@ -2,7 +2,8 @@
 
 import numpy as np
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import pre_init
 
 
 class FastEmbedEmbeddings(BaseModel, Embeddings):
@@ -54,7 +55,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that FastEmbed has been installed."""
         model_name = values.get("model_name")
diff --git a/libs/community/langchain_community/embeddings/gigachat.py b/libs/community/langchain_community/embeddings/gigachat.py
index 8fb6f233fc6d0..473878103cf3a 100644
--- a/libs/community/langchain_community/embeddings/gigachat.py
+++ b/libs/community/langchain_community/embeddings/gigachat.py
@@ -5,7 +5,8 @@
 from typing import Any, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.utils import pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -77,7 +78,7 @@ def _client(self) -> Any:
             key_file_password=self.key_file_password,
         )
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate authenticate data in environment and python package is installed."""
         try:
diff --git a/libs/community/langchain_community/embeddings/google_palm.py b/libs/community/langchain_community/embeddings/google_palm.py
index 0ffb5cfb6fbcc..2c960c93e84c1 100644
--- a/libs/community/langchain_community/embeddings/google_palm.py
+++ b/libs/community/langchain_community/embeddings/google_palm.py
@@ -4,8 +4,8 @@
 from typing import Any, Callable, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.utils import get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -62,7 +62,7 @@ class GooglePalmEmbeddings(BaseModel, Embeddings):
     show_progress_bar: bool = False
     """Whether to show a tqdm progress bar. Must have `tqdm` installed."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate api key, python package exists."""
         google_api_key = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/laser.py b/libs/community/langchain_community/embeddings/laser.py
index 675cd74f2117a..f85d9f6eb1e81 100644
--- a/libs/community/langchain_community/embeddings/laser.py
+++ b/libs/community/langchain_community/embeddings/laser.py
@@ -2,7 +2,8 @@
 
 import numpy as np
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import pre_init
 
 LASER_MULTILINGUAL_MODEL: str = "laser2"
 
@@ -41,7 +42,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that laser_encoders has been installed."""
         try:
diff --git a/libs/community/langchain_community/embeddings/llm_rails.py b/libs/community/langchain_community/embeddings/llm_rails.py
index 5019cba61cf66..fe10dad0b854f 100644
--- a/libs/community/langchain_community/embeddings/llm_rails.py
+++ b/libs/community/langchain_community/embeddings/llm_rails.py
@@ -4,8 +4,8 @@
 
 import requests
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 
 class LLMRailsEmbeddings(BaseModel, Embeddings):
@@ -37,7 +37,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/embeddings/localai.py b/libs/community/langchain_community/embeddings/localai.py
index fe620e9a6faf5..45cd41c333423 100644
--- a/libs/community/langchain_community/embeddings/localai.py
+++ b/libs/community/langchain_community/embeddings/localai.py
@@ -17,7 +17,11 @@
 
 from langchain_core.embeddings import Embeddings
 from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env, get_pydantic_field_names
+from langchain_core.utils import (
+    get_from_dict_or_env,
+    get_pydantic_field_names,
+    pre_init,
+)
 from tenacity import (
     AsyncRetrying,
     before_sleep_log,
@@ -193,7 +197,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["openai_api_key"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/minimax.py b/libs/community/langchain_community/embeddings/minimax.py
index 38e56c553b87d..810708dca8499 100644
--- a/libs/community/langchain_community/embeddings/minimax.py
+++ b/libs/community/langchain_community/embeddings/minimax.py
@@ -5,8 +5,8 @@
 
 import requests
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -84,7 +84,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that group id and api key exists in environment."""
         minimax_group_id = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/nemo.py b/libs/community/langchain_community/embeddings/nemo.py
index b21c0d7e000e3..95d00c3bbb4ce 100644
--- a/libs/community/langchain_community/embeddings/nemo.py
+++ b/libs/community/langchain_community/embeddings/nemo.py
@@ -8,7 +8,8 @@
 import requests
 from langchain_core._api.deprecation import deprecated
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.utils import pre_init
 
 
 def is_endpoint_live(url: str, headers: Optional[dict], payload: Any) -> bool:
@@ -58,7 +59,7 @@ class NeMoEmbeddings(BaseModel, Embeddings):
     model: str = "NV-Embed-QA-003"
     api_endpoint_url: str = "http://localhost:8088/v1/embeddings"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the end point is alive using the values that are provided."""
 
diff --git a/libs/community/langchain_community/embeddings/nlpcloud.py b/libs/community/langchain_community/embeddings/nlpcloud.py
index 748d63b90054c..69f08d28572f4 100644
--- a/libs/community/langchain_community/embeddings/nlpcloud.py
+++ b/libs/community/langchain_community/embeddings/nlpcloud.py
@@ -1,8 +1,8 @@
 from typing import Any, Dict, List
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 
 class NLPCloudEmbeddings(BaseModel, Embeddings):
@@ -30,7 +30,7 @@ def __init__(
     ) -> None:
         super().__init__(model_name=model_name, gpu=gpu, **kwargs)
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         nlpcloud_api_key = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/oci_generative_ai.py b/libs/community/langchain_community/embeddings/oci_generative_ai.py
index 9b08aee4e442c..70d6a7ed4f527 100644
--- a/libs/community/langchain_community/embeddings/oci_generative_ai.py
+++ b/libs/community/langchain_community/embeddings/oci_generative_ai.py
@@ -2,7 +2,8 @@
 from typing import Any, Dict, Iterator, List, Mapping, Optional
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import pre_init
 
 CUSTOM_ENDPOINT_PREFIX = "ocid1.generativeaiendpoint"
 
@@ -89,7 +90,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:  # pylint: disable=no-self-argument
         """Validate that OCI config and python package exists in environment."""
 
diff --git a/libs/community/langchain_community/embeddings/octoai_embeddings.py b/libs/community/langchain_community/embeddings/octoai_embeddings.py
index 43ce14c38e6dd..287c04c264589 100644
--- a/libs/community/langchain_community/embeddings/octoai_embeddings.py
+++ b/libs/community/langchain_community/embeddings/octoai_embeddings.py
@@ -1,7 +1,7 @@
 from typing import Dict
 
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.embeddings.openai import OpenAIEmbeddings
 from langchain_community.utils.openai import is_openai_v1
@@ -38,7 +38,7 @@ def _llm_type(self) -> str:
     def lc_secrets(self) -> Dict[str, str]:
         return {"octoai_api_token": "OCTOAI_API_TOKEN"}
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: dict) -> dict:
         """Validate that api key and python package exists in environment."""
         values["endpoint_url"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/openai.py b/libs/community/langchain_community/embeddings/openai.py
index 22ddac802a451..713e2535d8518 100644
--- a/libs/community/langchain_community/embeddings/openai.py
+++ b/libs/community/langchain_community/embeddings/openai.py
@@ -22,7 +22,11 @@
 from langchain_core._api.deprecation import deprecated
 from langchain_core.embeddings import Embeddings
 from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env, get_pydantic_field_names
+from langchain_core.utils import (
+    get_from_dict_or_env,
+    get_pydantic_field_names,
+    pre_init,
+)
 from tenacity import (
     AsyncRetrying,
     before_sleep_log,
@@ -282,7 +286,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["openai_api_key"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/premai.py b/libs/community/langchain_community/embeddings/premai.py
index 9f2585c3ed2f8..0ae42759776b0 100644
--- a/libs/community/langchain_community/embeddings/premai.py
+++ b/libs/community/langchain_community/embeddings/premai.py
@@ -5,8 +5,8 @@
 
 from langchain_core.embeddings import Embeddings
 from langchain_core.language_models.llms import create_base_retry_decorator
-from langchain_core.pydantic_v1 import BaseModel, SecretStr, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, SecretStr
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -32,7 +32,7 @@ class PremAIEmbeddings(BaseModel, Embeddings):
 
     client: Any
 
-    @root_validator()
+    @pre_init
     def validate_environments(cls, values: Dict) -> Dict:
         """Validate that the package is installed and that the API token is valid"""
         try:
diff --git a/libs/community/langchain_community/embeddings/sagemaker_endpoint.py b/libs/community/langchain_community/embeddings/sagemaker_endpoint.py
index 1f01e1ecf4def..945b33f93d934 100644
--- a/libs/community/langchain_community/embeddings/sagemaker_endpoint.py
+++ b/libs/community/langchain_community/embeddings/sagemaker_endpoint.py
@@ -1,7 +1,8 @@
 from typing import Any, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.sagemaker_endpoint import ContentHandlerBase
 
@@ -115,7 +116,7 @@ class Config:
         extra = Extra.forbid
         arbitrary_types_allowed = True
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Dont do anything if client provided externally"""
         if values.get("client") is not None:
diff --git a/libs/community/langchain_community/embeddings/sambanova.py b/libs/community/langchain_community/embeddings/sambanova.py
index 1b360f25470f5..6f86b41745480 100644
--- a/libs/community/langchain_community/embeddings/sambanova.py
+++ b/libs/community/langchain_community/embeddings/sambanova.py
@@ -3,8 +3,8 @@
 
 import requests
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 
 class SambaStudioEmbeddings(BaseModel, Embeddings):
@@ -64,7 +64,7 @@ class SambaStudioEmbeddings(BaseModel, Embeddings):
     batch_size: int = 32
     """Batch size for the embedding models"""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["sambastudio_embeddings_base_url"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/embeddings/solar.py b/libs/community/langchain_community/embeddings/solar.py
index d7e05df096208..8622525c28635 100644
--- a/libs/community/langchain_community/embeddings/solar.py
+++ b/libs/community/langchain_community/embeddings/solar.py
@@ -6,8 +6,8 @@
 import requests
 from langchain_core._api import deprecated
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -80,7 +80,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate api key exists in environment."""
         solar_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/embeddings/vertexai.py b/libs/community/langchain_community/embeddings/vertexai.py
index 4328a4816be76..c1b38c9ab8f36 100644
--- a/libs/community/langchain_community/embeddings/vertexai.py
+++ b/libs/community/langchain_community/embeddings/vertexai.py
@@ -8,7 +8,7 @@
 from langchain_core._api.deprecation import deprecated
 from langchain_core.embeddings import Embeddings
 from langchain_core.language_models.llms import create_base_retry_decorator
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.vertexai import _VertexAICommon
 from langchain_community.utilities.vertexai import raise_vertex_import_error
@@ -33,7 +33,7 @@ class VertexAIEmbeddings(_VertexAICommon, Embeddings):
     show_progress_bar: bool = False
     """Whether to show a tqdm progress bar. Must have `tqdm` installed."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validates that the python package exists in environment."""
         cls._try_init_vertexai(values)
diff --git a/libs/community/langchain_community/embeddings/volcengine.py b/libs/community/langchain_community/embeddings/volcengine.py
index 98ac729b96807..9b8e399264819 100644
--- a/libs/community/langchain_community/embeddings/volcengine.py
+++ b/libs/community/langchain_community/embeddings/volcengine.py
@@ -4,8 +4,8 @@
 from typing import Any, Dict, List, Optional
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -43,7 +43,7 @@ class VolcanoEmbeddings(BaseModel, Embeddings):
     client: Any
     """volcano client"""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """
         Validate whether volcano_ak and volcano_sk in the environment variables or
diff --git a/libs/community/langchain_community/embeddings/yandex.py b/libs/community/langchain_community/embeddings/yandex.py
index 6fea5f121a3bc..c262e1acdaca9 100644
--- a/libs/community/langchain_community/embeddings/yandex.py
+++ b/libs/community/langchain_community/embeddings/yandex.py
@@ -7,8 +7,8 @@
 from typing import Any, Callable, Dict, List, Sequence
 
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -76,7 +76,7 @@ class Config:
 
         allow_population_by_field_name = True
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that iam token exists in environment."""
 
diff --git a/libs/community/langchain_community/llms/ai21.py b/libs/community/langchain_community/llms/ai21.py
index dd86ba516aec8..484077a3f2cb9 100644
--- a/libs/community/langchain_community/llms/ai21.py
+++ b/libs/community/langchain_community/llms/ai21.py
@@ -3,8 +3,8 @@
 import requests
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 
 class AI21PenaltyData(BaseModel):
@@ -73,7 +73,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         ai21_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/aleph_alpha.py b/libs/community/langchain_community/llms/aleph_alpha.py
index d2e56ac35d521..c34ffcd4b5104 100644
--- a/libs/community/langchain_community/llms/aleph_alpha.py
+++ b/libs/community/langchain_community/llms/aleph_alpha.py
@@ -2,8 +2,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -129,7 +129,7 @@ class AlephAlpha(LLM):
     """Stop sequences to use."""
 
     # Client params
-    aleph_alpha_api_key: Optional[str] = None
+    aleph_alpha_api_key: Optional[SecretStr] = None
     """API key for Aleph Alpha API."""
     host: str = "https://api.aleph-alpha.com"
     """The hostname of the API host. 
@@ -167,7 +167,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["aleph_alpha_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/anthropic.py b/libs/community/langchain_community/llms/anthropic.py
index 8daf3fccabdf1..3727da55b6262 100644
--- a/libs/community/langchain_community/llms/anthropic.py
+++ b/libs/community/langchain_community/llms/anthropic.py
@@ -25,6 +25,7 @@
     check_package_version,
     get_from_dict_or_env,
     get_pydantic_field_names,
+    pre_init,
 )
 from langchain_core.utils.utils import build_extra_kwargs, convert_to_secret_str
 
@@ -74,7 +75,7 @@ def build_extra(cls, values: Dict) -> Dict:
         )
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["anthropic_api_key"] = convert_to_secret_str(
@@ -185,7 +186,7 @@ class Config:
         allow_population_by_field_name = True
         arbitrary_types_allowed = True
 
-    @root_validator()
+    @pre_init
     def raise_warning(cls, values: Dict) -> Dict:
         """Raise warning that this class is deprecated."""
         warnings.warn(
diff --git a/libs/community/langchain_community/llms/anyscale.py b/libs/community/langchain_community/llms/anyscale.py
index 3d4f727d3de4e..2e43fa38ae5a0 100644
--- a/libs/community/langchain_community/llms/anyscale.py
+++ b/libs/community/langchain_community/llms/anyscale.py
@@ -14,8 +14,8 @@
     CallbackManagerForLLMRun,
 )
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.openai import (
     BaseOpenAI,
@@ -93,7 +93,7 @@ def send_query(llm, text):
     def is_lc_serializable(cls) -> bool:
         return False
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["anyscale_api_base"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/aphrodite.py b/libs/community/langchain_community/llms/aphrodite.py
index 11720a088f230..d8bf1c1871c1d 100644
--- a/libs/community/langchain_community/llms/aphrodite.py
+++ b/libs/community/langchain_community/llms/aphrodite.py
@@ -3,7 +3,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import BaseLLM
 from langchain_core.outputs import Generation, LLMResult
-from langchain_core.pydantic_v1 import Field, root_validator
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import pre_init
 
 
 class Aphrodite(BaseLLM):
@@ -157,7 +158,7 @@ class Aphrodite(BaseLLM):
 
     client: Any  #: :meta private:
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that python package exists in environment."""
 
diff --git a/libs/community/langchain_community/llms/baichuan.py b/libs/community/langchain_community/llms/baichuan.py
index 2f897b2c6d2e6..4cc614ce8ac4a 100644
--- a/libs/community/langchain_community/llms/baichuan.py
+++ b/libs/community/langchain_community/llms/baichuan.py
@@ -7,8 +7,8 @@
 import requests
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -31,7 +31,7 @@ class BaichuanLLM(LLM):
     baichuan_api_host: Optional[str] = None
     baichuan_api_key: Optional[SecretStr] = None
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         values["baichuan_api_key"] = convert_to_secret_str(
             get_from_dict_or_env(values, "baichuan_api_key", "BAICHUAN_API_KEY")
diff --git a/libs/community/langchain_community/llms/baidu_qianfan_endpoint.py b/libs/community/langchain_community/llms/baidu_qianfan_endpoint.py
index b92b0cd5f61e9..4d091f0614c43 100644
--- a/libs/community/langchain_community/llms/baidu_qianfan_endpoint.py
+++ b/libs/community/langchain_community/llms/baidu_qianfan_endpoint.py
@@ -16,8 +16,8 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -76,7 +76,7 @@ class QianfanLLMEndpoint(LLM):
     In the case of other model, passing these params will not affect the result.
     """
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         values["qianfan_ak"] = convert_to_secret_str(
             get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/bananadev.py b/libs/community/langchain_community/llms/bananadev.py
index 43ee44b83dfd6..32e075133ba59 100644
--- a/libs/community/langchain_community/llms/bananadev.py
+++ b/libs/community/langchain_community/llms/bananadev.py
@@ -4,7 +4,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -63,7 +63,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         banana_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/beam.py b/libs/community/langchain_community/llms/beam.py
index 9476cf07d05f5..b69abdb6bb57d 100644
--- a/libs/community/langchain_community/llms/beam.py
+++ b/libs/community/langchain_community/llms/beam.py
@@ -10,7 +10,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -95,7 +95,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         beam_client_id = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/bedrock.py b/libs/community/langchain_community/llms/bedrock.py
index 713d6eb84b6ee..3300f19077cb6 100644
--- a/libs/community/langchain_community/llms/bedrock.py
+++ b/libs/community/langchain_community/llms/bedrock.py
@@ -21,8 +21,8 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Extra, Field
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 from langchain_community.utilities.anthropic import (
@@ -389,7 +389,7 @@ async def on_llm_error(
                 ...Logic to handle guardrail intervention...
     """  # noqa: E501
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that AWS credentials to and python package exists in environment."""
 
@@ -743,7 +743,7 @@ class Bedrock(LLM, BedrockBase):
 
     """
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         model_id = values["model_id"]
         if model_id.startswith("anthropic.claude-3"):
diff --git a/libs/community/langchain_community/llms/cerebriumai.py b/libs/community/langchain_community/llms/cerebriumai.py
index c9e219995ae1b..417bedf802ddf 100644
--- a/libs/community/langchain_community/llms/cerebriumai.py
+++ b/libs/community/langchain_community/llms/cerebriumai.py
@@ -5,7 +5,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -62,7 +62,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         cerebriumai_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/clarifai.py b/libs/community/langchain_community/llms/clarifai.py
index 8a3c9b042123d..83812968393fb 100644
--- a/libs/community/langchain_community/llms/clarifai.py
+++ b/libs/community/langchain_community/llms/clarifai.py
@@ -4,7 +4,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import Generation, LLMResult
-from langchain_core.pydantic_v1 import Extra, Field, root_validator
+from langchain_core.pydantic_v1 import Extra, Field
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -53,7 +54,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that we have all required info to access Clarifai
         platform and python package exists in environment."""
diff --git a/libs/community/langchain_community/llms/cohere.py b/libs/community/langchain_community/llms/cohere.py
index 02e505e2fbebf..c266fcfafcfb0 100644
--- a/libs/community/langchain_community/llms/cohere.py
+++ b/libs/community/langchain_community/llms/cohere.py
@@ -10,8 +10,8 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.load.serializable import Serializable
-from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra, Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -95,7 +95,7 @@ class BaseCohere(Serializable):
     user_agent: str = "langchain"
     """Identifier for the application making the request."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         try:
diff --git a/libs/community/langchain_community/llms/ctransformers.py b/libs/community/langchain_community/llms/ctransformers.py
index 95c13ae487fce..612e6041db5c8 100644
--- a/libs/community/langchain_community/llms/ctransformers.py
+++ b/libs/community/langchain_community/llms/ctransformers.py
@@ -6,7 +6,7 @@
     CallbackManagerForLLMRun,
 )
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.utils import pre_init
 
 
 class CTransformers(LLM):
@@ -57,7 +57,7 @@ def _llm_type(self) -> str:
         """Return type of llm."""
         return "ctransformers"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that ``ctransformers`` package is installed."""
         try:
diff --git a/libs/community/langchain_community/llms/ctranslate2.py b/libs/community/langchain_community/llms/ctranslate2.py
index 84e357aa8e51b..22c5de078acc4 100644
--- a/libs/community/langchain_community/llms/ctranslate2.py
+++ b/libs/community/langchain_community/llms/ctranslate2.py
@@ -3,7 +3,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.outputs import Generation, LLMResult
-from langchain_core.pydantic_v1 import Field, root_validator
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import pre_init
 
 
 class CTranslate2(BaseLLM):
@@ -50,7 +51,7 @@ class CTranslate2(BaseLLM):
     explicitly specified.
     """
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that python package exists in environment."""
 
diff --git a/libs/community/langchain_community/llms/deepinfra.py b/libs/community/langchain_community/llms/deepinfra.py
index 6d8deb0caa880..0dbf4bcc668ee 100644
--- a/libs/community/langchain_community/llms/deepinfra.py
+++ b/libs/community/langchain_community/llms/deepinfra.py
@@ -8,8 +8,8 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.utilities.requests import Requests
 
@@ -43,7 +43,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         deepinfra_api_token = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/deepsparse.py b/libs/community/langchain_community/llms/deepsparse.py
index 5560edafd42b5..106750e273146 100644
--- a/libs/community/langchain_community/llms/deepsparse.py
+++ b/libs/community/langchain_community/llms/deepsparse.py
@@ -1,12 +1,18 @@
 # flake8: noqa
+from langchain_core.utils import pre_init
 from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union
+from langchain_core.utils import pre_init
 from langchain_core.pydantic_v1 import root_validator
+from langchain_core.utils import pre_init
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
 )
+from langchain_core.utils import pre_init
 from langchain_core.language_models.llms import LLM
+from langchain_core.utils import pre_init
 from langchain_community.llms.utils import enforce_stop_tokens
+from langchain_core.utils import pre_init
 from langchain_core.outputs import GenerationChunk
 
 
@@ -55,7 +61,7 @@ def _llm_type(self) -> str:
         """Return type of llm."""
         return "deepsparse"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that ``deepsparse`` package is installed."""
         try:
diff --git a/libs/community/langchain_community/llms/edenai.py b/libs/community/langchain_community/llms/edenai.py
index 281b4cbd1959d..d9c1b5a7caf05 100644
--- a/libs/community/langchain_community/llms/edenai.py
+++ b/libs/community/langchain_community/llms/edenai.py
@@ -10,7 +10,7 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 from langchain_community.utilities.requests import Requests
@@ -73,7 +73,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         values["edenai_api_key"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/exllamav2.py b/libs/community/langchain_community/llms/exllamav2.py
index 2962466e4639d..3e577cbf97788 100644
--- a/libs/community/langchain_community/llms/exllamav2.py
+++ b/libs/community/langchain_community/llms/exllamav2.py
@@ -3,7 +3,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import Field, root_validator
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import pre_init
 
 
 class ExLlamaV2(LLM):
@@ -58,7 +59,7 @@ class ExLlamaV2(LLM):
     disallowed_tokens: List[int] = Field(None)
     """List of tokens to disallow during generation."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         try:
             import torch
diff --git a/libs/community/langchain_community/llms/fireworks.py b/libs/community/langchain_community/llms/fireworks.py
index a2ecc74c3f37e..a8f55c2012f17 100644
--- a/libs/community/langchain_community/llms/fireworks.py
+++ b/libs/community/langchain_community/llms/fireworks.py
@@ -9,8 +9,8 @@
 )
 from langchain_core.language_models.llms import BaseLLM, create_base_retry_decorator
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, pre_init
 from langchain_core.utils.env import get_from_dict_or_env
 
 
@@ -61,7 +61,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "llms", "fireworks"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key in environment."""
         try:
diff --git a/libs/community/langchain_community/llms/friendli.py b/libs/community/langchain_community/llms/friendli.py
index 88e23e4ac8a5f..5f137b078e172 100644
--- a/libs/community/langchain_community/llms/friendli.py
+++ b/libs/community/langchain_community/llms/friendli.py
@@ -10,7 +10,8 @@
 from langchain_core.language_models.llms import LLM
 from langchain_core.load.serializable import Serializable
 from langchain_core.outputs import GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import pre_init
 from langchain_core.utils.env import get_from_dict_or_env
 from langchain_core.utils.utils import convert_to_secret_str
 
@@ -66,7 +67,7 @@ class BaseFriendli(Serializable):
     # is used by default.
     top_p: Optional[float] = None
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate if personal access token is provided in environment."""
         try:
diff --git a/libs/community/langchain_community/llms/gigachat.py b/libs/community/langchain_community/llms/gigachat.py
index 67b604b2d207a..a8fbb1654c48a 100644
--- a/libs/community/langchain_community/llms/gigachat.py
+++ b/libs/community/langchain_community/llms/gigachat.py
@@ -11,7 +11,7 @@
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.load.serializable import Serializable
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.utils import pre_init
 
 if TYPE_CHECKING:
     import gigachat
@@ -113,7 +113,7 @@ def _client(self) -> gigachat.GigaChat:
             verbose=self.verbose,
         )
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate authenticate data in environment and python package is installed."""
         try:
diff --git a/libs/community/langchain_community/llms/google_palm.py b/libs/community/langchain_community/llms/google_palm.py
index b0e7e22c0947b..278a46ea2d782 100644
--- a/libs/community/langchain_community/llms/google_palm.py
+++ b/libs/community/langchain_community/llms/google_palm.py
@@ -6,8 +6,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import LanguageModelInput
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import BaseModel, SecretStr, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, SecretStr
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms import BaseLLM
 from langchain_community.utilities.vertexai import create_retry_decorator
@@ -107,7 +107,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "llms", "google_palm"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate api key, python package exists."""
         google_api_key = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/gooseai.py b/libs/community/langchain_community/llms/gooseai.py
index 27ff257ab6397..617a825b2c911 100644
--- a/libs/community/langchain_community/llms/gooseai.py
+++ b/libs/community/langchain_community/llms/gooseai.py
@@ -4,7 +4,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -86,7 +86,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         gooseai_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/gpt4all.py b/libs/community/langchain_community/llms/gpt4all.py
index 7824b00aa5ac3..42fef0034e868 100644
--- a/libs/community/langchain_community/llms/gpt4all.py
+++ b/libs/community/langchain_community/llms/gpt4all.py
@@ -3,7 +3,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, Field, root_validator
+from langchain_core.pydantic_v1 import Extra, Field
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -127,7 +128,7 @@ def _default_params(self) -> Dict[str, Any]:
             "streaming": self.streaming,
         }
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the python package exists in the environment."""
         try:
diff --git a/libs/community/langchain_community/llms/huggingface_endpoint.py b/libs/community/langchain_community/llms/huggingface_endpoint.py
index 1b233c534819d..31884057ff2f8 100644
--- a/libs/community/langchain_community/llms/huggingface_endpoint.py
+++ b/libs/community/langchain_community/llms/huggingface_endpoint.py
@@ -10,7 +10,11 @@
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
 from langchain_core.pydantic_v1 import Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env, get_pydantic_field_names
+from langchain_core.utils import (
+    get_from_dict_or_env,
+    get_pydantic_field_names,
+    pre_init,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -162,7 +166,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model"] = values.get("endpoint_url") or values.get("repo_id")
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that package is installed and that the API token is valid."""
         try:
diff --git a/libs/community/langchain_community/llms/huggingface_hub.py b/libs/community/langchain_community/llms/huggingface_hub.py
index ab2977e98340a..a49d959ed9682 100644
--- a/libs/community/langchain_community/llms/huggingface_hub.py
+++ b/libs/community/langchain_community/llms/huggingface_hub.py
@@ -4,8 +4,8 @@
 from langchain_core._api.deprecation import deprecated
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -61,7 +61,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         huggingfacehub_api_token = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/huggingface_text_gen_inference.py b/libs/community/langchain_community/llms/huggingface_text_gen_inference.py
index 322007ec1746c..d432949b8fc0c 100644
--- a/libs/community/langchain_community/llms/huggingface_text_gen_inference.py
+++ b/libs/community/langchain_community/llms/huggingface_text_gen_inference.py
@@ -9,7 +9,7 @@
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
 from langchain_core.pydantic_v1 import Extra, Field, root_validator
-from langchain_core.utils import get_pydantic_field_names
+from langchain_core.utils import get_pydantic_field_names, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -134,7 +134,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that python package exists in environment."""
 
diff --git a/libs/community/langchain_community/llms/llamacpp.py b/libs/community/langchain_community/llms/llamacpp.py
index 39e58093a6b4a..0bd6d7e010c0b 100644
--- a/libs/community/langchain_community/llms/llamacpp.py
+++ b/libs/community/langchain_community/llms/llamacpp.py
@@ -8,7 +8,7 @@
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
 from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import get_pydantic_field_names
+from langchain_core.utils import get_pydantic_field_names, pre_init
 from langchain_core.utils.utils import build_extra_kwargs
 
 logger = logging.getLogger(__name__)
@@ -133,7 +133,7 @@ class LlamaCpp(LLM):
     verbose: bool = True
     """Print verbose output to stderr."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that llama-cpp-python library is installed."""
         try:
diff --git a/libs/community/langchain_community/llms/manifest.py b/libs/community/langchain_community/llms/manifest.py
index 2852ab1d7c745..7e4f45d7c9147 100644
--- a/libs/community/langchain_community/llms/manifest.py
+++ b/libs/community/langchain_community/llms/manifest.py
@@ -2,7 +2,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import pre_init
 
 
 class ManifestWrapper(LLM):
@@ -16,7 +17,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that python package exists in environment."""
         try:
diff --git a/libs/community/langchain_community/llms/minimax.py b/libs/community/langchain_community/llms/minimax.py
index df0cb53ff030e..08b1ec3899164 100644
--- a/libs/community/langchain_community/llms/minimax.py
+++ b/libs/community/langchain_community/llms/minimax.py
@@ -16,7 +16,7 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -72,7 +72,7 @@ class MinimaxCommon(BaseModel):
     minimax_group_id: Optional[str] = None
     minimax_api_key: Optional[SecretStr] = None
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["minimax_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/moonshot.py b/libs/community/langchain_community/llms/moonshot.py
index d72659f12664d..0370db3a242a3 100644
--- a/libs/community/langchain_community/llms/moonshot.py
+++ b/libs/community/langchain_community/llms/moonshot.py
@@ -4,7 +4,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import LLM
 from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -79,7 +79,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         """
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["moonshot_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/mosaicml.py b/libs/community/langchain_community/llms/mosaicml.py
index f7fcba0c7ea09..75bf50ca9099b 100644
--- a/libs/community/langchain_community/llms/mosaicml.py
+++ b/libs/community/langchain_community/llms/mosaicml.py
@@ -3,8 +3,8 @@
 import requests
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -64,7 +64,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         mosaicml_api_token = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/nlpcloud.py b/libs/community/langchain_community/llms/nlpcloud.py
index a73087918ce78..0ac0451dc3644 100644
--- a/libs/community/langchain_community/llms/nlpcloud.py
+++ b/libs/community/langchain_community/llms/nlpcloud.py
@@ -2,8 +2,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 
 class NLPCloud(LLM):
@@ -56,7 +56,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["nlpcloud_api_key"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py b/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py
index acd4ff5e11d99..0c1178d29c935 100644
--- a/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py
+++ b/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py
@@ -4,8 +4,8 @@
 import requests
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -47,7 +47,7 @@ class OCIModelDeploymentLLM(LLM):
     """Stop words to use when generating. Model output is cut off
     at the first occurrence of any of these substrings."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(  # pylint: disable=no-self-argument
         cls, values: Dict
     ) -> Dict:
diff --git a/libs/community/langchain_community/llms/oci_generative_ai.py b/libs/community/langchain_community/llms/oci_generative_ai.py
index b513d8e212457..3c4feb1aa5bc4 100644
--- a/libs/community/langchain_community/llms/oci_generative_ai.py
+++ b/libs/community/langchain_community/llms/oci_generative_ai.py
@@ -8,7 +8,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -99,7 +100,7 @@ class OCIGenAIBase(BaseModel, ABC):
     is_stream: bool = False
     """Whether to stream back partial progress"""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that OCI config and python package exists in environment."""
 
diff --git a/libs/community/langchain_community/llms/octoai_endpoint.py b/libs/community/langchain_community/llms/octoai_endpoint.py
index a2bc1484011e9..ff5302c3ff058 100644
--- a/libs/community/langchain_community/llms/octoai_endpoint.py
+++ b/libs/community/langchain_community/llms/octoai_endpoint.py
@@ -1,7 +1,7 @@
 from typing import Any, Dict
 
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.openai import BaseOpenAI
 from langchain_community.utils.openai import is_openai_v1
@@ -66,7 +66,7 @@ def _llm_type(self) -> str:
         """Return type of llm."""
         return "octoai_endpoint"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["octoai_api_base"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/opaqueprompts.py b/libs/community/langchain_community/llms/opaqueprompts.py
index 67bd5b62722e6..d00354183f9c8 100644
--- a/libs/community/langchain_community/llms/opaqueprompts.py
+++ b/libs/community/langchain_community/llms/opaqueprompts.py
@@ -5,8 +5,8 @@
 from langchain_core.language_models import BaseLanguageModel
 from langchain_core.language_models.llms import LLM
 from langchain_core.messages import AIMessage
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -38,7 +38,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validates that the OpaquePrompts API key and the Python package exist."""
         try:
diff --git a/libs/community/langchain_community/llms/openai.py b/libs/community/langchain_community/llms/openai.py
index 757e3d85ba270..3274652b604c3 100644
--- a/libs/community/langchain_community/llms/openai.py
+++ b/libs/community/langchain_community/llms/openai.py
@@ -29,7 +29,11 @@
 from langchain_core.language_models.llms import BaseLLM, create_base_retry_decorator
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
 from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import get_from_dict_or_env, get_pydantic_field_names
+from langchain_core.utils import (
+    get_from_dict_or_env,
+    get_pydantic_field_names,
+    pre_init,
+)
 from langchain_core.utils.utils import build_extra_kwargs
 
 from langchain_community.utils.openai import is_openai_v1
@@ -269,7 +273,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         )
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         if values["n"] < 1:
@@ -818,7 +822,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "llms", "openai"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         if values["n"] < 1:
@@ -1025,7 +1029,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         openai_api_key = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/openlm.py b/libs/community/langchain_community/llms/openlm.py
index 47b303012bf01..1601a3bd06820 100644
--- a/libs/community/langchain_community/llms/openlm.py
+++ b/libs/community/langchain_community/llms/openlm.py
@@ -1,6 +1,6 @@
 from typing import Any, Dict
 
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.openai import BaseOpenAI
 
@@ -16,7 +16,7 @@ def is_lc_serializable(cls) -> bool:
     def _invocation_params(self) -> Dict[str, Any]:
         return {**{"model": self.model_name}, **super()._invocation_params}
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         try:
             import openlm
diff --git a/libs/community/langchain_community/llms/pai_eas_endpoint.py b/libs/community/langchain_community/llms/pai_eas_endpoint.py
index c84083b17eaac..5f447bda4c13c 100644
--- a/libs/community/langchain_community/llms/pai_eas_endpoint.py
+++ b/libs/community/langchain_community/llms/pai_eas_endpoint.py
@@ -6,8 +6,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -52,7 +51,7 @@ class PaiEasEndpoint(LLM):
 
     version: Optional[str] = "2.0"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["eas_service_url"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/petals.py b/libs/community/langchain_community/llms/petals.py
index 9112d18a1dfbb..f907c7420edaa 100644
--- a/libs/community/langchain_community/llms/petals.py
+++ b/libs/community/langchain_community/llms/petals.py
@@ -4,7 +4,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -86,7 +86,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         huggingface_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/pipelineai.py b/libs/community/langchain_community/llms/pipelineai.py
index 170722d920a53..8d2b4c2074e7a 100644
--- a/libs/community/langchain_community/llms/pipelineai.py
+++ b/libs/community/langchain_community/llms/pipelineai.py
@@ -10,7 +10,7 @@
     SecretStr,
     root_validator,
 )
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -65,7 +65,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["pipeline_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         pipeline_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/predictionguard.py b/libs/community/langchain_community/llms/predictionguard.py
index 62115509cbc83..45638c6ddeacb 100644
--- a/libs/community/langchain_community/llms/predictionguard.py
+++ b/libs/community/langchain_community/llms/predictionguard.py
@@ -3,8 +3,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -53,7 +53,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the access token and python package exists in environment."""
         token = get_from_dict_or_env(values, "token", "PREDICTIONGUARD_TOKEN")
diff --git a/libs/community/langchain_community/llms/replicate.py b/libs/community/langchain_community/llms/replicate.py
index 0a1d9cffccdab..10407ad735420 100644
--- a/libs/community/langchain_community/llms/replicate.py
+++ b/libs/community/langchain_community/llms/replicate.py
@@ -7,7 +7,7 @@
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
 from langchain_core.pydantic_v1 import Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 if TYPE_CHECKING:
     from replicate.prediction import Prediction
@@ -97,7 +97,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         replicate_api_token = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/rwkv.py b/libs/community/langchain_community/llms/rwkv.py
index 7381afe7db968..344e1d5de6511 100644
--- a/libs/community/langchain_community/llms/rwkv.py
+++ b/libs/community/langchain_community/llms/rwkv.py
@@ -8,7 +8,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Extra
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -98,7 +99,7 @@ def _rwkv_param_names() -> Set[str]:
             "verbose",
         }
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the python package exists in the environment."""
         try:
diff --git a/libs/community/langchain_community/llms/sagemaker_endpoint.py b/libs/community/langchain_community/llms/sagemaker_endpoint.py
index 4954c0707e3bb..89237890aa126 100644
--- a/libs/community/langchain_community/llms/sagemaker_endpoint.py
+++ b/libs/community/langchain_community/llms/sagemaker_endpoint.py
@@ -7,7 +7,8 @@
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -249,7 +250,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Dont do anything if client provided externally"""
         if values.get("client") is not None:
diff --git a/libs/community/langchain_community/llms/sambanova.py b/libs/community/langchain_community/llms/sambanova.py
index 6017f9b8b3b51..2b59d2b8c766e 100644
--- a/libs/community/langchain_community/llms/sambanova.py
+++ b/libs/community/langchain_community/llms/sambanova.py
@@ -5,8 +5,8 @@
 from langchain_core.callbacks.manager import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 
 class SVEndpointHandler:
@@ -218,7 +218,7 @@ class Config:
     def is_lc_serializable(cls) -> bool:
         return True
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         values["sambaverse_url"] = get_from_dict_or_env(
@@ -731,7 +731,7 @@ def _llm_type(self) -> str:
         """Return type of llm."""
         return "Sambastudio LLM"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["sambastudio_base_url"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/solar.py b/libs/community/langchain_community/llms/solar.py
index e8e7b7e11d669..65dfdc58ed574 100644
--- a/libs/community/langchain_community/llms/solar.py
+++ b/libs/community/langchain_community/llms/solar.py
@@ -4,7 +4,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models import LLM
 from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -68,7 +68,7 @@ def _invocation_params(self) -> Dict[str, Any]:
     def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         api_key = get_from_dict_or_env(values, "solar_api_key", "SOLAR_API_KEY")
         if api_key is None or len(api_key) == 0:
diff --git a/libs/community/langchain_community/llms/sparkllm.py b/libs/community/langchain_community/llms/sparkllm.py
index c74abf21fd0d9..4e10e3b253633 100644
--- a/libs/community/langchain_community/llms/sparkllm.py
+++ b/libs/community/langchain_community/llms/sparkllm.py
@@ -17,8 +17,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -54,7 +54,7 @@ class SparkLLM(LLM):
     top_k: int = 4
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         values["spark_app_id"] = get_from_dict_or_env(
             values,
diff --git a/libs/community/langchain_community/llms/stochasticai.py b/libs/community/langchain_community/llms/stochasticai.py
index 4cfc6d5ee9482..090de9553f5fc 100644
--- a/libs/community/langchain_community/llms/stochasticai.py
+++ b/libs/community/langchain_community/llms/stochasticai.py
@@ -6,7 +6,7 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -58,7 +58,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
         values["model_kwargs"] = extra
         return values
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key exists in environment."""
         stochasticai_api_key = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/symblai_nebula.py b/libs/community/langchain_community/llms/symblai_nebula.py
index 9e0b2687a2f72..b8f43008d9992 100644
--- a/libs/community/langchain_community/llms/symblai_nebula.py
+++ b/libs/community/langchain_community/llms/symblai_nebula.py
@@ -5,8 +5,8 @@
 import requests
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from requests import ConnectTimeout, ReadTimeout, RequestException
 from tenacity import (
     before_sleep_log,
@@ -65,7 +65,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         nebula_service_url = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/tongyi.py b/libs/community/langchain_community/llms/tongyi.py
index 8e13b6e03f192..7a75d116acf16 100644
--- a/libs/community/langchain_community/llms/tongyi.py
+++ b/libs/community/langchain_community/llms/tongyi.py
@@ -24,8 +24,8 @@
 )
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import get_from_dict_or_env, pre_init
 from requests.exceptions import HTTPError
 from tenacity import (
     before_sleep_log,
@@ -198,7 +198,7 @@ def _llm_type(self) -> str:
         """Return type of llm."""
         return "tongyi"
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         values["dashscope_api_key"] = get_from_dict_or_env(
diff --git a/libs/community/langchain_community/llms/vertexai.py b/libs/community/langchain_community/llms/vertexai.py
index 8498bed5ff925..42572f3ac199c 100644
--- a/libs/community/langchain_community/llms/vertexai.py
+++ b/libs/community/langchain_community/llms/vertexai.py
@@ -10,7 +10,8 @@
 )
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain_core.utils import pre_init
 
 from langchain_community.utilities.vertexai import (
     create_retry_decorator,
@@ -222,7 +223,7 @@ def get_lc_namespace(cls) -> List[str]:
         """Get the namespace of the langchain object."""
         return ["langchain", "llms", "vertexai"]
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the python package exists in environment."""
         tuned_model_name = values.get("tuned_model_name")
@@ -409,7 +410,7 @@ class VertexAIModelGarden(_VertexAIBase, BaseLLM):
     "Set result_arg to None if output of the model is expected to be a string."
     "Otherwise, if it's a dict, provided an argument that contains the result."
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that the python package exists in environment."""
         try:
diff --git a/libs/community/langchain_community/llms/vllm.py b/libs/community/langchain_community/llms/vllm.py
index 5710cf4872350..f4eddf46350ef 100644
--- a/libs/community/langchain_community/llms/vllm.py
+++ b/libs/community/langchain_community/llms/vllm.py
@@ -3,7 +3,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.outputs import Generation, LLMResult
-from langchain_core.pydantic_v1 import Field, root_validator
+from langchain_core.pydantic_v1 import Field
+from langchain_core.utils import pre_init
 
 from langchain_community.llms.openai import BaseOpenAI
 from langchain_community.utils.openai import is_openai_v1
@@ -73,7 +74,7 @@ class VLLM(BaseLLM):
 
     client: Any  #: :meta private:
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that python package exists in environment."""
 
diff --git a/libs/community/langchain_community/llms/volcengine_maas.py b/libs/community/langchain_community/llms/volcengine_maas.py
index aa6a37cc2c406..dab4989adf3af 100644
--- a/libs/community/langchain_community/llms/volcengine_maas.py
+++ b/libs/community/langchain_community/llms/volcengine_maas.py
@@ -5,8 +5,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.outputs import GenerationChunk
-from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 
 class VolcEngineMaasBase(BaseModel):
@@ -52,7 +52,7 @@ class VolcEngineMaasBase(BaseModel):
     """Timeout for read response from volc engine maas endpoint. 
     Default is 60 seconds."""
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         volc_engine_maas_ak = convert_to_secret_str(
             get_from_dict_or_env(values, "volc_engine_maas_ak", "VOLC_ACCESSKEY")
diff --git a/libs/community/langchain_community/llms/watsonxllm.py b/libs/community/langchain_community/llms/watsonxllm.py
index 53255f17116b5..952e9f573e46e 100644
--- a/libs/community/langchain_community/llms/watsonxllm.py
+++ b/libs/community/langchain_community/llms/watsonxllm.py
@@ -6,8 +6,8 @@
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import BaseLLM
 from langchain_core.outputs import Generation, GenerationChunk, LLMResult
-from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra, SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 logger = logging.getLogger(__name__)
 
@@ -115,7 +115,7 @@ def lc_secrets(self) -> Dict[str, str]:
             "instance_id": "WATSONX_INSTANCE_ID",
         }
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that credentials and python package exists in environment."""
         values["url"] = convert_to_secret_str(
diff --git a/libs/community/langchain_community/llms/writer.py b/libs/community/langchain_community/llms/writer.py
index 3b7bc6a06c4d7..23d2986e8d2f0 100644
--- a/libs/community/langchain_community/llms/writer.py
+++ b/libs/community/langchain_community/llms/writer.py
@@ -3,8 +3,8 @@
 import requests
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -69,7 +69,7 @@ class Config:
 
         extra = Extra.forbid
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and organization id exist in environment."""
 
diff --git a/libs/community/langchain_community/llms/yandex.py b/libs/community/langchain_community/llms/yandex.py
index df5780f0c8871..39e79ba4f4aa8 100644
--- a/libs/community/langchain_community/llms/yandex.py
+++ b/libs/community/langchain_community/llms/yandex.py
@@ -9,8 +9,8 @@
 )
 from langchain_core.language_models.llms import LLM
 from langchain_core.load.serializable import Serializable
-from langchain_core.pydantic_v1 import SecretStr, root_validator
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.pydantic_v1 import SecretStr
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 from tenacity import (
     before_sleep_log,
     retry,
@@ -74,7 +74,7 @@ def _identifying_params(self) -> Dict[str, Any]:
             "max_retries": self.max_retries,
         }
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that iam token exists in environment."""
 
diff --git a/libs/community/langchain_community/retrievers/arcee.py b/libs/community/langchain_community/retrievers/arcee.py
index 90c6a996af601..821808f2f39dd 100644
--- a/libs/community/langchain_community/retrievers/arcee.py
+++ b/libs/community/langchain_community/retrievers/arcee.py
@@ -2,9 +2,9 @@
 
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.documents import Document
-from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
+from langchain_core.pydantic_v1 import Extra, SecretStr
 from langchain_core.retrievers import BaseRetriever
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 from langchain_community.utilities.arcee import ArceeWrapper, DALMFilter
 
@@ -70,7 +70,7 @@ def __init__(self, **data: Any) -> None:
 
         self._client.validate_model_training_status()
 
-    @root_validator()
+    @pre_init
     def validate_environments(cls, values: Dict) -> Dict:
         """Validate Arcee environment variables."""
 
diff --git a/libs/community/langchain_community/retrievers/google_cloud_documentai_warehouse.py b/libs/community/langchain_community/retrievers/google_cloud_documentai_warehouse.py
index b989cef5b020e..d47227750132b 100644
--- a/libs/community/langchain_community/retrievers/google_cloud_documentai_warehouse.py
+++ b/libs/community/langchain_community/retrievers/google_cloud_documentai_warehouse.py
@@ -5,9 +5,8 @@
 from langchain_core._api.deprecation import deprecated
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.documents import Document
-from langchain_core.pydantic_v1 import root_validator
 from langchain_core.retrievers import BaseRetriever
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, pre_init
 
 from langchain_community.utilities.vertexai import get_client_info
 
@@ -48,7 +47,7 @@ class GoogleDocumentAIWarehouseRetriever(BaseRetriever):
     """The limit on the number of documents returned."""
     client: "DocumentServiceClient" = None  #: :meta private:
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validates the environment."""
         try:
diff --git a/libs/community/langchain_community/retrievers/pinecone_hybrid_search.py b/libs/community/langchain_community/retrievers/pinecone_hybrid_search.py
index fdc1828716563..b3a1c0cfcc9b7 100644
--- a/libs/community/langchain_community/retrievers/pinecone_hybrid_search.py
+++ b/libs/community/langchain_community/retrievers/pinecone_hybrid_search.py
@@ -6,8 +6,9 @@
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import Extra, root_validator
+from langchain_core.pydantic_v1 import Extra
 from langchain_core.retrievers import BaseRetriever
+from langchain_core.utils import pre_init
 
 
 def hash_text(text: str) -> str:
@@ -136,7 +137,7 @@ def add_texts(
             namespace=namespace,
         )
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         try:
diff --git a/libs/community/langchain_community/retrievers/qdrant_sparse_vector_retriever.py b/libs/community/langchain_community/retrievers/qdrant_sparse_vector_retriever.py
index daf8917173db8..40bd31db82ced 100644
--- a/libs/community/langchain_community/retrievers/qdrant_sparse_vector_retriever.py
+++ b/libs/community/langchain_community/retrievers/qdrant_sparse_vector_retriever.py
@@ -15,8 +15,9 @@
 
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.documents import Document
-from langchain_core.pydantic_v1 import Extra, root_validator
+from langchain_core.pydantic_v1 import Extra
 from langchain_core.retrievers import BaseRetriever
+from langchain_core.utils import pre_init
 
 from langchain_community.vectorstores.qdrant import Qdrant, QdrantException
 
@@ -49,7 +50,7 @@ class Config:
         extra = Extra.forbid
         arbitrary_types_allowed = True
 
-    @root_validator()
+    @pre_init
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that 'qdrant_client' python package exists in environment."""
         try:
diff --git a/libs/community/langchain_community/retrievers/thirdai_neuraldb.py b/libs/community/langchain_community/retrievers/thirdai_neuraldb.py
index e4a25aea4a1b1..22015b3033130 100644
--- a/libs/community/langchain_community/retrievers/thirdai_neuraldb.py
+++ b/libs/community/langchain_community/retrievers/thirdai_neuraldb.py
@@ -7,9 +7,9 @@
 
 from langchain_core.callbacks import CallbackManagerForRetrieverRun
 from langchain_core.documents import Document
-from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
+from langchain_core.pydantic_v1 import Extra, SecretStr
 from langchain_core.retrievers import BaseRetriever
-from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
 
 
 class NeuralDBRetriever(BaseRetriever):
@@ -110,7 +110,7 @@ def from_checkpoint(
 
         return cls(thirdai_key=thirdai_key, db=ndb.NeuralDB.from_checkpoint(checkpoint))  # type: ignore[arg-type]
 
-    @root_validator()
+    @pre_init
     def validate_environments(cls, values: Dict) -> Dict:
         """Validate ThirdAI environment variables."""
         values["thirdai_key"] = convert_to_secret_str(
diff --git a/libs/community/tests/integration_tests/vectorstores/test_vectara.py b/libs/community/tests/integration_tests/vectorstores/test_vectara.py
index dcaae7dd0c9a2..d8f557bc6d1cb 100644
--- a/libs/community/tests/integration_tests/vectorstores/test_vectara.py
+++ b/libs/community/tests/integration_tests/vectorstores/test_vectara.py
@@ -1,6 +1,6 @@
 import tempfile
 import urllib.request
-from typing import Iterable
+from typing import Generator, Iterable
 
 import pytest
 from langchain_core.documents import Document
@@ -102,10 +102,10 @@ def test_vectara_add_documents(vectara1: Vectara) -> None:
 
 
 @pytest.fixture(scope="function")
-def vectara2():  # type: ignore[no-untyped-def]
+def vectara2() -> Generator[Vectara, None, None]:
     # download documents to local storage and then upload as files
     # attention paper and deep learning book
-    vectara2: Vectara = Vectara()
+    vectara2: Vectara = Vectara()  # type: ignore
 
     urls = [
         (
diff --git a/libs/community/tests/unit_tests/llms/test_aleph_alpha.py b/libs/community/tests/unit_tests/llms/test_aleph_alpha.py
index ae09ecd116fca..57cd544d7eb58 100644
--- a/libs/community/tests/unit_tests/llms/test_aleph_alpha.py
+++ b/libs/community/tests/unit_tests/llms/test_aleph_alpha.py
@@ -9,7 +9,7 @@
 
 @pytest.mark.requires("aleph_alpha_client")
 def test_api_key_is_secret_string() -> None:
-    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")  # type: ignore[call-arg]
+    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")  # type: ignore
     assert isinstance(llm.aleph_alpha_api_key, SecretStr)
 
 
@@ -17,7 +17,7 @@ def test_api_key_is_secret_string() -> None:
 def test_api_key_masked_when_passed_via_constructor(
     capsys: CaptureFixture,
 ) -> None:
-    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")  # type: ignore[call-arg]
+    llm = AlephAlpha(aleph_alpha_api_key="secret-api-key")  # type: ignore
     print(llm.aleph_alpha_api_key, end="")  # noqa: T201
     captured = capsys.readouterr()
 
diff --git a/libs/community/tests/unit_tests/llms/test_bedrock.py b/libs/community/tests/unit_tests/llms/test_bedrock.py
index 60012182936cc..42af3a011210e 100644
--- a/libs/community/tests/unit_tests/llms/test_bedrock.py
+++ b/libs/community/tests/unit_tests/llms/test_bedrock.py
@@ -277,9 +277,12 @@ async def async_gen_mock_streaming_response() -> AsyncGenerator[Dict, None]:
 async def test_bedrock_async_streaming_call() -> None:
     # Mock boto3 import
     mock_boto3 = MagicMock()
+    session = MagicMock()
+    session.region_name = "region"
+    mock_boto3.Session.return_value = session
     mock_boto3.Session.return_value.client.return_value = (
-        MagicMock()
-    )  # Mocking the client method of the Session object
+        session  # Mocking the client method of the Session object
+    )
 
     with patch.dict(
         "sys.modules", {"boto3": mock_boto3}
diff --git a/libs/community/tests/unit_tests/load/__snapshots__/test_dump.ambr b/libs/community/tests/unit_tests/load/__snapshots__/test_dump.ambr
index 2f98e08105649..2789472be2212 100644
--- a/libs/community/tests/unit_tests/load/__snapshots__/test_dump.ambr
+++ b/libs/community/tests/unit_tests/load/__snapshots__/test_dump.ambr
@@ -139,7 +139,7 @@
           "model_name": "davinci",
           "temperature": 0.5,
           "max_tokens": 256,
-          "top_p": 1,
+          "top_p": 1.0,
           "n": 1,
           "best_of": 1,
           "openai_api_key": {
@@ -655,7 +655,7 @@
           "model_name": "davinci",
           "temperature": 0.5,
           "max_tokens": 256,
-          "top_p": 1,
+          "top_p": 1.0,
           "n": 1,
           "best_of": 1,
           "openai_api_key": {
@@ -817,7 +817,7 @@
       "model_name": "davinci",
       "temperature": 0.7,
       "max_tokens": 256,
-      "top_p": 1,
+      "top_p": 1.0,
       "n": 1,
       "best_of": 1,
       "openai_api_key": {
diff --git a/libs/core/langchain_core/utils/__init__.py b/libs/core/langchain_core/utils/__init__.py
index 80fbf680f3ed9..654f81df56bfd 100644
--- a/libs/core/langchain_core/utils/__init__.py
+++ b/libs/core/langchain_core/utils/__init__.py
@@ -16,6 +16,7 @@
 )
 from langchain_core.utils.iter import batch_iterate
 from langchain_core.utils.loading import try_load_from_hub
+from langchain_core.utils.pydantic import pre_init
 from langchain_core.utils.strings import comma_list, stringify_dict, stringify_value
 from langchain_core.utils.utils import (
     build_extra_kwargs,
@@ -50,6 +51,7 @@
     "stringify_dict",
     "comma_list",
     "stringify_value",
+    "pre_init",
     "batch_iterate",
     "abatch_iterate",
 ]
diff --git a/libs/core/langchain_core/utils/pydantic.py b/libs/core/langchain_core/utils/pydantic.py
index 80ddb81fcb995..a79eb70fefe49 100644
--- a/libs/core/langchain_core/utils/pydantic.py
+++ b/libs/core/langchain_core/utils/pydantic.py
@@ -1,5 +1,10 @@
 """Utilities for tests."""
 
+from functools import wraps
+from typing import Any, Callable, Dict, Type
+
+from langchain_core.pydantic_v1 import BaseModel, root_validator
+
 
 def get_pydantic_major_version() -> int:
     """Get the major version of Pydantic."""
@@ -12,3 +17,35 @@ def get_pydantic_major_version() -> int:
 
 
 PYDANTIC_MAJOR_VERSION = get_pydantic_major_version()
+
+
+# How to type hint this?
+def pre_init(func: Callable) -> Any:
+    """Decorator to run a function before model initialization."""
+
+    @root_validator(pre=True)
+    @wraps(func)
+    def wrapper(cls: Type[BaseModel], values: Dict[str, Any]) -> Dict[str, Any]:
+        """Decorator to run a function before model initialization."""
+        # Insert default values
+        fields = cls.__fields__
+        for name, field_info in fields.items():
+            # Check if allow_population_by_field_name is enabled
+            # If yes, then set the field name to the alias
+            if hasattr(cls, "Config"):
+                if hasattr(cls.Config, "allow_population_by_field_name"):
+                    if cls.Config.allow_population_by_field_name:
+                        if field_info.alias in values:
+                            values[name] = values.pop(field_info.alias)
+
+            if name not in values or values[name] is None:
+                if not field_info.required:
+                    if field_info.default_factory is not None:
+                        values[name] = field_info.default_factory()
+                    else:
+                        values[name] = field_info.default
+
+        # Call the decorated function
+        return func(cls, values)
+
+    return wrapper
diff --git a/libs/core/tests/unit_tests/utils/test_imports.py b/libs/core/tests/unit_tests/utils/test_imports.py
index 8a1d4236688ae..8cb909d3f7070 100644
--- a/libs/core/tests/unit_tests/utils/test_imports.py
+++ b/libs/core/tests/unit_tests/utils/test_imports.py
@@ -24,6 +24,7 @@
     "stringify_dict",
     "comma_list",
     "stringify_value",
+    "pre_init",
 ]
 
 
diff --git a/libs/core/tests/unit_tests/utils/test_pydantic.py b/libs/core/tests/unit_tests/utils/test_pydantic.py
new file mode 100644
index 0000000000000..cedf4db7c2578
--- /dev/null
+++ b/libs/core/tests/unit_tests/utils/test_pydantic.py
@@ -0,0 +1,75 @@
+"""Test for some custom pydantic decorators."""
+
+from typing import Any, Dict, Optional
+
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain_core.utils.pydantic import pre_init
+
+
+def test_pre_init_decorator() -> None:
+    class Foo(BaseModel):
+        x: int = 5
+        y: int
+
+        @pre_init
+        def validator(cls, v: Dict[str, Any]) -> Dict[str, Any]:
+            v["y"] = v["x"] + 1
+            return v
+
+    # Type ignore initialization b/c y is marked as required
+    foo = Foo()  # type: ignore
+    assert foo.y == 6
+    foo = Foo(x=10)  # type: ignore
+    assert foo.y == 11
+
+
+def test_pre_init_decorator_with_more_defaults() -> None:
+    class Foo(BaseModel):
+        a: int = 1
+        b: Optional[int] = None
+        c: int = Field(default=2)
+        d: int = Field(default_factory=lambda: 3)
+
+        @pre_init
+        def validator(cls, v: Dict[str, Any]) -> Dict[str, Any]:
+            assert v["a"] == 1
+            assert v["b"] is None
+            assert v["c"] == 2
+            assert v["d"] == 3
+            return v
+
+    # Try to create an instance of Foo
+    # nothing is required, but mypy can't track the default for `c`
+    Foo()  # type: ignore
+
+
+def test_with_aliases() -> None:
+    class Foo(BaseModel):
+        x: int = Field(default=1, alias="y")
+        z: int
+
+        class Config:
+            allow_population_by_field_name = True
+
+        @pre_init
+        def validator(cls, v: Dict[str, Any]) -> Dict[str, Any]:
+            v["z"] = v["x"]
+            return v
+
+    # Based on defaults
+    # z is required
+    foo = Foo()  # type: ignore
+    assert foo.x == 1
+    assert foo.z == 1
+
+    # Based on field name
+    # z is required
+    foo = Foo(x=2)  # type: ignore
+    assert foo.x == 2
+    assert foo.z == 2
+
+    # Based on alias
+    # z is required
+    foo = Foo(y=2)  # type: ignore
+    assert foo.x == 2
+    assert foo.z == 2