ModuleNotFoundError Traceback (most recent call last)
Cell In[18], line 1
----> 1 from langchain.agents import AgentExecutor, create_react_agent
2 # Create the agent
3 agent = create_react_agent(llm, tools, prompt)
File f:\AgenticAI\Workplace\ag_env\Lib\site-packages\langchain\agents_init_.py:40
37 from langchain_core.tools.convert import tool
39 from langchain._api import create_importer
—> 40 from langchain.agents.agent import (
41 Agent,
42 AgentExecutor,
43 AgentOutputParser,
44 BaseMultiActionAgent,
45 BaseSingleActionAgent,
46 LLMSingleActionAgent,
47 )
48 from langchain.agents.agent_iterator import AgentExecutorIterator
49 from langchain.agents.agent_toolkits.vectorstore.base import (
50 create_vectorstore_agent,
51 create_vectorstore_router_agent,
52 )
File f:\AgenticAI\Workplace\ag_env\Lib\site-packages\langchain\agents\agent.py:48
45 from typing_extensions import Self, override
47 from langchain._api.deprecation import AGENT_DEPRECATION_WARNING
—> 48 from langchain.agents.agent_iterator import AgentExecutorIterator
49 from langchain.agents.agent_types import AgentType
50 from langchain.agents.tools import InvalidTool
File f:\AgenticAI\Workplace\ag_env\Lib\site-packages\langchain\agents\agent_iterator.py:33
30 from langchain_core.tools import BaseTool
31 from langchain_core.utils.input import get_color_mapping
—> 33 from langchain.schema import RUN_KEY
34 from langchain.utilities.asyncio import asyncio_timeout
36 if TYPE_CHECKING:
File f:\AgenticAI\Workplace\ag_env\Lib\site-packages\langchain\schema_init_.py:8
6 from langchain_core.documents import BaseDocumentTransformer, Document
7 from langchain_core.exceptions import LangChainException, OutputParserException
----> 8 from langchain_core.memory import BaseMemory
9 from langchain_core.messages import (
10 AIMessage,
11 BaseMessage,
(…) 19 messages_to_dict,
20 )
21 from langchain_core.messages.base import message_to_dict
ModuleNotFoundError: No module named ‘langchain_core.memory’