RuntimeErro Импорт Langchain ⇐ Python

[Anonymous]

Я получаю следующую ошибку при попытке импортировать langchain. Есть предположения, что могло пойти не так?
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Input In [4], in ()
----> 1 import langchain

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\__init__.py:6, in
3 from importlib import metadata
4 from typing import Optional
----> 6 from langchain.agents import MRKLChain, ReActChain, SelfAskWithSearchChain
7 from langchain.cache import BaseCache
8 from langchain.chains import (
9 ConversationChain,
10 LLMBashChain,
(...)
16 VectorDBQAWithSourcesChain,
17 )

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\__init__.py:11, in
2 from langchain.agents.agent import (
3 Agent,
4 AgentExecutor,
(...)
8 LLMSingleActionAgent,
9 )
10 from langchain.agents.agent_iterator import AgentExecutorIterator
---> 11 from langchain.agents.agent_toolkits import (
12 create_csv_agent,
13 create_json_agent,
14 create_openapi_agent,
15 create_pandas_dataframe_agent,
16 create_pbi_agent,
17 create_pbi_chat_agent,
18 create_spark_dataframe_agent,
19 create_spark_sql_agent,
20 create_sql_agent,
21 create_vectorstore_agent,
22 create_vectorstore_router_agent,
23 create_xorbits_agent,
24 )
25 from langchain.agents.agent_types import AgentType
26 from langchain.agents.conversational.base import ConversationalAgent

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\agent_toolkits\__init__.py:6, in
2 from langchain.agents.agent_toolkits.amadeus.toolkit import AmadeusToolkit
3 from langchain.agents.agent_toolkits.azure_cognitive_services import (
4 AzureCognitiveServicesToolkit,
5 )
----> 6 from langchain.agents.agent_toolkits.csv.base import create_csv_agent
7 from langchain.agents.agent_toolkits.file_management.toolkit import (
8 FileManagementToolkit,
9 )
10 from langchain.agents.agent_toolkits.gmail.toolkit import GmailToolkit

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\agent_toolkits\csv\base.py:4, in
1 from typing import Any, List, Optional, Union
3 from langchain.agents.agent import AgentExecutor
----> 4 from langchain.agents.agent_toolkits.pandas.base import create_pandas_dataframe_agent
5 from langchain.schema.language_model import BaseLanguageModel
8 def create_csv_agent(
9 llm: BaseLanguageModel,
10 path: Union[str, List[str]],
11 pandas_kwargs: Optional[dict] = None,
12 **kwargs: Any,
13 ) -> AgentExecutor:

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\agent_toolkits\pandas\base.py:18, in
16 from langchain.agents.mrkl.base import ZeroShotAgent
17 from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
---> 18 from langchain.agents.types import AgentType
19 from langchain.callbacks.base import BaseCallbackManager
20 from langchain.chains.llm import LLMChain

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\types.py:5, in
3 from langchain.agents.agent import BaseSingleActionAgent
4 from langchain.agents.agent_types import AgentType
----> 5 from langchain.agents.chat.base import ChatAgent
6 from langchain.agents.conversational.base import ConversationalAgent
7 from langchain.agents.conversational_chat.base import ConversationalChatAgent

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\chat\base.py:6, in
3 from pydantic import Field
5 from langchain.agents.agent import Agent, AgentOutputParser
----> 6 from langchain.agents.chat.output_parser import ChatOutputParser
7 from langchain.agents.chat.prompt import (
8 FORMAT_INSTRUCTIONS,
9 HUMAN_MESSAGE,
10 SYSTEM_MESSAGE_PREFIX,
11 SYSTEM_MESSAGE_SUFFIX,
12 )
13 from langchain.agents.utils import validate_tools_single_input

File ~\Anaconda3\envs\rioxarray\lib\site-packages\langchain\agents\chat\output_parser.py:12, in
7 from langchain.schema import AgentAction, AgentFinish, OutputParserException
9 FINAL_ANSWER_ACTION = "Final Answer:"
---> 12 class ChatOutputParser(AgentOutputParser):
13 """Output parser for the chat agent."""
15 pattern = re.compile(r"^.*?`{3}(?:json)?\n(.*?)`{3}.*?$", re.DOTALL)

File ~\Anaconda3\envs\rioxarray\lib\site-packages\pydantic\main.py:229, in pydantic.main.ModelMetaclass.__new__()

File ~\Anaconda3\envs\rioxarray\lib\site-packages\pydantic\fields.py:491, in pydantic.fields.ModelField.infer()

File ~\Anaconda3\envs\rioxarray\lib\site-packages\pydantic\fields.py:421, in pydantic.fields.ModelField.__init__()

File ~\Anaconda3\envs\rioxarray\lib\site-packages\pydantic\fields.py:542, in pydantic.fields.ModelField.prepare()

File ~\Anaconda3\envs\rioxarray\lib\site-packages\pydantic\fields.py:804, in pydantic.fields.ModelField.populate_validators()

File ~\Anaconda3\envs\rioxarray\lib\site-packages\pydantic\validators.py:723, in find_validators()

RuntimeError: no validator found for , see `arbitrary_types_allowed` in Config


Подробнее здесь: https://stackoverflow.com/questions/768 ... -langchain