multiple: pydantic 2 compatibility, v0.3 (#26443)

Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>

libs/experimental/langchain_experimental/graph_transformers/llm.py

@@ -12,8 +12,8 @@ from langchain_core.prompts import (
     HumanMessagePromptTemplate,
     PromptTemplate,
 )
-from langchain_core.pydantic_v1 import BaseModel, Field, create_model
 from langchain_core.runnables import RunnableConfig
+from pydantic import BaseModel, Field, create_model
 
 examples = [
     {
@@ -159,7 +159,7 @@ def optional_enum_field(
     if enum_values and llm_type == "openai-chat":
         return Field(
             ...,
-            enum=enum_values,
+            enum=enum_values,  # type: ignore[call-arg]
             description=f"{description}. Available options are {enum_values}",
             **field_kwargs,
         )