diff --git a/langchain/chains/moderation.py b/langchain/chains/moderation.py
index 32b1b471..f7221c04 100644
--- a/langchain/chains/moderation.py
+++ b/langchain/chains/moderation.py
@@ -31,6 +31,7 @@ class OpenAIModerationChain(Chain):
     input_key: str = "input"  #: :meta private:
     output_key: str = "output"  #: :meta private:
     openai_api_key: Optional[str] = None
+    openai_organization: Optional[str] = None
 
     @root_validator()
     def validate_environment(cls, values: Dict) -> Dict:
diff --git a/langchain/chat_models/azure_openai.py b/langchain/chat_models/azure_openai.py
index 0b052d5f..510d28ec 100644
--- a/langchain/chat_models/azure_openai.py
+++ b/langchain/chat_models/azure_openai.py
@@ -44,6 +44,7 @@ class AzureChatOpenAI(ChatOpenAI):
     openai_api_base: str = ""
     openai_api_version: str = ""
     openai_api_key: str = ""
+    openai_organization: str = ""
 
     @root_validator()
     def validate_environment(cls, values: Dict) -> Dict:
diff --git a/langchain/chat_models/openai.py b/langchain/chat_models/openai.py
index 6d510d4b..38e1045e 100644
--- a/langchain/chat_models/openai.py
+++ b/langchain/chat_models/openai.py
@@ -115,6 +115,7 @@ class ChatOpenAI(BaseChatModel):
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """Holds any model parameters valid for `create` call not explicitly specified."""
     openai_api_key: Optional[str] = None
+    openai_organization: Optional[str] = None
     request_timeout: int = 60
     """Timeout in seconds for the OpenAPI request."""
     max_retries: int = 6
diff --git a/langchain/embeddings/openai.py b/langchain/embeddings/openai.py
index c66fd226..09daf764 100644
--- a/langchain/embeddings/openai.py
+++ b/langchain/embeddings/openai.py
@@ -98,6 +98,7 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     query_model_name: str = "text-embedding-ada-002"
     embedding_ctx_length: int = 8191
     openai_api_key: Optional[str] = None
+    openai_organization: Optional[str] = None
     chunk_size: int = 1000
     """Maximum number of texts to embed in each batch"""
     max_retries: int = 6
diff --git a/langchain/llms/openai.py b/langchain/llms/openai.py
index 02be32ec..d34b3787 100644
--- a/langchain/llms/openai.py
+++ b/langchain/llms/openai.py
@@ -151,6 +151,7 @@ class BaseOpenAI(BaseLLM):
     model_kwargs: Dict[str, Any] = Field(default_factory=dict)
     """Holds any model parameters valid for `create` call not explicitly specified."""
     openai_api_key: Optional[str] = None
+    openai_organization: Optional[str] = None
     batch_size: int = 20
     """Batch size to use when passing multiple documents to generate."""
     request_timeout: Optional[Union[float, Tuple[float, float]]] = None