refactor(openai): move chat model to v1 namespace (#32407)

libs/partners/openai/langchain_openai/__init__.py

@@ -1,11 +1,10 @@
-from langchain_openai.chat_models import AzureChatOpenAI, ChatOpenAI, ChatOpenAIV1
+from langchain_openai.chat_models import AzureChatOpenAI, ChatOpenAI
 from langchain_openai.embeddings import AzureOpenAIEmbeddings, OpenAIEmbeddings
 from langchain_openai.llms import AzureOpenAI, OpenAI
 
 __all__ = [
     "OpenAI",
     "ChatOpenAI",
-    "ChatOpenAIV1",
     "OpenAIEmbeddings",
     "AzureOpenAI",
     "AzureChatOpenAI",

libs/partners/openai/langchain_openai/chat_models/__init__.py

@@ -1,5 +1,4 @@
 from langchain_openai.chat_models.azure import AzureChatOpenAI
 from langchain_openai.chat_models.base import ChatOpenAI
-from langchain_openai.chat_models.base_v1 import ChatOpenAI as ChatOpenAIV1
 
-__all__ = ["ChatOpenAI", "AzureChatOpenAI", "ChatOpenAIV1"]
+__all__ = ["ChatOpenAI", "AzureChatOpenAI"]

libs/partners/openai/langchain_openai/v1/__init__.py

@@ -0,0 +1,3 @@
+from langchain_openai.v1.chat_models import ChatOpenAI
+
+__all__ = ["ChatOpenAI"]

libs/partners/openai/langchain_openai/v1/chat_models/__init__.py

@@ -0,0 +1,3 @@
+from langchain_openai.v1.chat_models.base import ChatOpenAI
+
+__all__ = ["ChatOpenAI"]

libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py

@@ -20,7 +20,8 @@ from langchain_core.v1.messages import HumanMessage as HumanMessageV1
 from pydantic import BaseModel
 from typing_extensions import TypedDict
 
-from langchain_openai import ChatOpenAI, ChatOpenAIV1
+from langchain_openai import ChatOpenAI
+from langchain_openai.v1 import ChatOpenAI as ChatOpenAIV1
 
 MODEL_NAME = "gpt-4o-mini"
 

libs/partners/openai/tests/unit_tests/chat_models/test_imports.py

@@ -1,7 +1,10 @@
 from langchain_openai.chat_models import __all__
+from langchain_openai.v1.chat_models import __all__ as v1_all
 
-EXPECTED_ALL = ["ChatOpenAI", "ChatOpenAIV1", "AzureChatOpenAI"]
+EXPECTED_ALL = ["ChatOpenAI", "AzureChatOpenAI"]
+EXPECTED_ALL_V1 = ["ChatOpenAI"]
 
 
 def test_all_imports() -> None:
     assert sorted(EXPECTED_ALL) == sorted(__all__)
+    assert sorted(EXPECTED_ALL_V1) == sorted(v1_all)

libs/partners/openai/tests/unit_tests/chat_models/test_responses_stream.py

@@ -37,7 +37,8 @@ from openai.types.responses.response_usage import (
 from openai.types.shared.reasoning import Reasoning
 from openai.types.shared.response_format_text import ResponseFormatText
 
-from langchain_openai import ChatOpenAI, ChatOpenAIV1
+from langchain_openai import ChatOpenAI
+from langchain_openai.v1 import ChatOpenAI as ChatOpenAIV1
 from tests.unit_tests.chat_models.test_base import MockSyncContextManager
 
 responses_stream = [

libs/partners/openai/tests/unit_tests/test_imports.py

@@ -1,15 +1,18 @@
 from langchain_openai import __all__
+from langchain_openai.v1 import __all__ as v1_all
 
 EXPECTED_ALL = [
     "OpenAI",
     "ChatOpenAI",
-    "ChatOpenAIV1",
     "OpenAIEmbeddings",
     "AzureOpenAI",
     "AzureChatOpenAI",
     "AzureOpenAIEmbeddings",
 ]
 
+EXPECTED_ALL_V1 = ["ChatOpenAI"]
+
 
 def test_all_imports() -> None:
     assert sorted(EXPECTED_ALL) == sorted(__all__)
+    assert sorted(EXPECTED_ALL_V1) == sorted(v1_all)