fix(openai): pin upper bound to prevent Pydantic 2.7.0 issues (#33038)

openai/openai-python#2644

Author: mdrxy

libs/partners/deepseek/tests/unit_tests/test_chat_models.py

@@ -5,7 +5,6 @@
 from typing import Any, Literal, Union
 from unittest.mock import MagicMock
 
-import pydantic
 from langchain_core.messages import AIMessageChunk, ToolMessage
 from langchain_tests.unit_tests import ChatModelUnitTests
 from openai import BaseModel
@@ -14,10 +13,6 @@
 
 from langchain_deepseek.chat_models import ChatDeepSeek
 
-# patch validation to ignore leading underscores due to OpenAI client issue
-# TODO: remove when fixed in OpenAI client
-pydantic._internal._model_construction.is_valid_field_name = lambda name: True
-
 
 class MockOpenAIResponse(BaseModel):
     choices: list

libs/partners/deepseek/uv.lock

@@ -9,7 +9,7 @@ requires-python = ">=3.9.0,<4.0.0"
 dependencies = [
     "langchain-core>=0.3.55,<1.0.0",
     "fireworks-ai>=0.13.0,<1.0.0",
-    "openai>=1.10.0,<2.0.0",
+    "openai>=1.0.0,<1.108.0",
     "requests>=2.0.0,<3.0.0",
     "aiohttp>=3.9.1,<4.0.0",
 ]

libs/partners/fireworks/pyproject.toml

@@ -8,7 +8,7 @@ license = { text = "MIT" }
 requires-python = ">=3.9.0,<4.0.0"
 dependencies = [
     "langchain-core>=0.3.76,<2.0.0",
-    "openai>=1.104.2,<2.0.0",
+    "openai>=1.104.2,<1.108.0",
     "tiktoken>=0.7.0,<1.0.0",
 ]
 name = "langchain-openai"

libs/partners/fireworks/uv.lock

@@ -8,7 +8,7 @@ license = { text = "MIT" }
 requires-python = ">=3.9.0,<4.0.0"
 dependencies = [
     "langchain-core>=0.3.71,<1.0.0",
-    "openai>=1.97.1,<2.0.0",
+    "openai>=1.97.1,<1.108.0",
 ]
 name = "langchain-perplexity"
 version = "0.1.2"

libs/partners/openai/pyproject.toml

@@ -1,6 +1,5 @@
 import json
 
-import pydantic
 import pytest  # type: ignore[import-not-found]
 from langchain_core.messages import (
     AIMessage,
@@ -16,10 +15,6 @@
 
 from langchain_xai import ChatXAI
 
-# patch validation to ignore leading underscores due to OpenAI client issue
-# TODO: remove when fixed in OpenAI client
-pydantic._internal._model_construction.is_valid_field_name = lambda name: True
-
 MODEL_NAME = "grok-4"