diff --git a/langchain/llms/huggingface_pipeline.py b/langchain/llms/huggingface_pipeline.py
index eab476ce9f7..40198a9b8d6 100644
--- a/langchain/llms/huggingface_pipeline.py
+++ b/langchain/llms/huggingface_pipeline.py
@@ -37,7 +37,7 @@ class HuggingFacePipeline(LLM, BaseModel):
             pipe = pipeline(
                 "text-generation", model=model, tokenizer=tokenizer, max_new_tokens=10
             )
-            hf = HuggingFacePipeline(pipeline=pipe
+            hf = HuggingFacePipeline(pipeline=pipe)
     """
 
     pipeline: Any  #: :meta private:
diff --git a/langchain/llms/openai.py b/langchain/llms/openai.py
index 0eb170242c0..42ca39b5c1b 100644
--- a/langchain/llms/openai.py
+++ b/langchain/llms/openai.py
@@ -1,6 +1,6 @@
 """Wrapper around OpenAI APIs."""
 import sys
-from typing import Any, Dict, Generator, List, Mapping, Optional
+from typing import Any, Dict, Generator, List, Mapping, Optional, Tuple, Union
 
 from pydantic import BaseModel, Extra, Field, root_validator
 
@@ -49,6 +49,8 @@ class BaseOpenAI(BaseLLM, BaseModel):
     openai_api_key: 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
+    """Timeout for requests to OpenAI completion API. Default is 600 seconds."""
 
     class Config:
         """Configuration for this pydantic object."""
@@ -98,6 +100,7 @@ class BaseOpenAI(BaseLLM, BaseModel):
             "presence_penalty": self.presence_penalty,
             "n": self.n,
             "best_of": self.best_of,
+            "request_timeout": self.request_timeout,
         }
         return {**normal_params, **self.model_kwargs}