OpenAI remove httpx typing (#13154)

Addresses #13124

libs/langchain/langchain/chat_models/openai.py

@@ -53,7 +53,6 @@ from langchain.utils import (
 from langchain.utils.openai import is_openai_v1
 
 if TYPE_CHECKING:
-    import httpx
     import tiktoken
 
 
@@ -201,10 +200,11 @@ class ChatOpenAI(BaseChatModel):
     """Automatically inferred from env var `OPENAI_ORG_ID` if not provided."""
     # to support explicit proxy for OpenAI
     openai_proxy: Optional[str] = None
-    request_timeout: Union[float, Tuple[float, float], httpx.Timeout, None] = Field(
+    request_timeout: Union[float, Tuple[float, float], Any, None] = Field(
         default=None, alias="timeout"
     )
-    """Timeout for requests to OpenAI completion API. Default is 600 seconds."""
+    """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or 
+        None."""
     max_retries: int = 2
     """Maximum number of retries to make when generating."""
     streaming: bool = False
@@ -227,7 +227,8 @@ class ChatOpenAI(BaseChatModel):
     default_query: Union[Mapping[str, object], None] = None
     # Configure a custom httpx client. See the
     # [httpx documentation](https://www.python-httpx.org/api/#client) for more details.
-    http_client: Union[httpx.Client, None] = None
+    http_client: Union[Any, None] = None
+    """Optional httpx.Client."""
 
     class Config:
         """Configuration for this pydantic object."""

libs/langchain/langchain/embeddings/openai.py

@@ -5,7 +5,6 @@ import os
 import warnings
 from importlib.metadata import version
 from typing import (
-    TYPE_CHECKING,
     Any,
     Callable,
     Dict,
@@ -35,9 +34,6 @@ from langchain.pydantic_v1 import BaseModel, Extra, Field, root_validator
 from langchain.schema.embeddings import Embeddings
 from langchain.utils import get_from_dict_or_env, get_pydantic_field_names
 
-if TYPE_CHECKING:
-    import httpx
-
 logger = logging.getLogger(__name__)
 
 
@@ -207,10 +203,11 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     """Maximum number of texts to embed in each batch"""
     max_retries: int = 2
     """Maximum number of retries to make when generating."""
-    request_timeout: Optional[Union[float, Tuple[float, float], httpx.Timeout]] = Field(
+    request_timeout: Optional[Union[float, Tuple[float, float], Any]] = Field(
         default=None, alias="timeout"
     )
-    """Timeout in seconds for the OpenAPI request."""
+    """Timeout for requests to OpenAI completion API. Can be float, httpx.Timeout or 
+        None."""
     headers: Any = None
     tiktoken_model_name: Optional[str] = None
     """The model name to pass to tiktoken when using this class. 
@@ -233,7 +230,8 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
     default_query: Union[Mapping[str, object], None] = None
     # Configure a custom httpx client. See the
     # [httpx documentation](https://www.python-httpx.org/api/#client) for more details.
-    http_client: Union[httpx.Client, None] = None
+    http_client: Union[Any, None] = None
+    """Optional httpx.Client."""
 
     class Config:
         """Configuration for this pydantic object."""

libs/langchain/tests/integration_tests/chat_models/test_openai.py

@@ -25,7 +25,19 @@ from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 @pytest.mark.scheduled
 def test_chat_openai() -> None:
     """Test ChatOpenAI wrapper."""
-    chat = ChatOpenAI(max_tokens=10)
+    chat = ChatOpenAI(
+        temperature=0.7,
+        base_url=None,
+        organization=None,
+        openai_proxy=None,
+        timeout=10.0,
+        max_retries=3,
+        http_client=None,
+        n=1,
+        max_tokens=10,
+        default_headers=None,
+        default_query=None,
+    )
     message = HumanMessage(content="Hello")
     response = chat([message])
     assert isinstance(response, BaseMessage)