unpin pydantic (#9356)

libs/experimental/tests/unit_tests/fake_llm.py

@@ -3,7 +3,7 @@ from typing import Any, Dict, List, Mapping, Optional, cast
 
 from langchain.callbacks.manager import CallbackManagerForLLMRun
 from langchain.llms.base import LLM
-from pydantic import validator
+from pydantic_v1 import validator
 
 
 class FakeLLM(LLM):

libs/langchain/langchain/chains/openai_functions/base.py

@@ -230,7 +230,7 @@ def create_openai_fn_chain(
                 from langchain.chat_models import ChatOpenAI
                 from langchain.prompts import ChatPromptTemplate
 
-                from pydantic import BaseModel, Field
+                from pydantic_v1 import BaseModel, Field
 
 
                 class RecordPerson(BaseModel):
@@ -316,7 +316,7 @@ def create_structured_output_chain(
                 from langchain.chat_models import ChatOpenAI
                 from langchain.prompts import ChatPromptTemplate
 
-                from pydantic import BaseModel, Field
+                from pydantic_v1 import BaseModel, Field
 
                 class Dog(BaseModel):
                     \"\"\"Identifying information about a dog.\"\"\"

libs/langchain/poetry.lock

@@ -10487,4 +10487,4 @@ text-helpers = ["chardet"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "0c6f0b48849161928ab5df69f818779d6f5c58760cf967448a8785c938a23b57"
+content-hash = "594d1f6ea7a3e00f0ab6c74cab8b75245d112a84635af440df7ab1242d464140"

libs/langchain/pyproject.toml

@@ -12,7 +12,7 @@ langchain-server = "langchain.server:main"
 
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
-pydantic = "^1"
+pydantic = ">=1,<3"
 SQLAlchemy = ">=1.4,<3"
 requests = "^2"
 PyYAML = ">=5.3"