openai[patch]: fix async http client (#19164)

Fix #19116

libs/partners/openai/langchain_openai/embeddings/base.py

@@ -123,7 +123,12 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     retry_max_seconds: int = 20
     """Max number of seconds to wait between retries"""
     http_client: Union[Any, None] = None
-    """Optional httpx.Client."""
+    """Optional httpx.Client. Only used for sync invocations. Must specify 
+        http_async_client as well if you'd like a custom client for async invocations.
+    """
+    http_async_client: Union[Any, None] = None
+    """Optional httpx.AsyncClient. Only used for async invocations. Must specify 
+        http_client as well if you'd like a custom client for sync invocations."""
 
     class Config:
         """Configuration for this pydantic object."""
@@ -218,12 +223,17 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
             "max_retries": values["max_retries"],
             "default_headers": values["default_headers"],
             "default_query": values["default_query"],
-            "http_client": values["http_client"],
         }
         if not values.get("client"):
-            values["client"] = openai.OpenAI(**client_params).embeddings
+            sync_specific = {"http_client": values["http_client"]}
+            values["client"] = openai.OpenAI(
+                **client_params, **sync_specific
+            ).embeddings
         if not values.get("async_client"):
-            values["async_client"] = openai.AsyncOpenAI(**client_params).embeddings
+            async_specific = {"http_client": values["http_async_client"]}
+            values["async_client"] = openai.AsyncOpenAI(
+                **client_params, **async_specific
+            ).embeddings
         return values
 
     @property