Sep 19 in LangChain
Need help in fixing bug
I am watching the youtube tutorial on LangChain. In the agent and tools section, I used ChatGroq class to use Groq models instead of using OpenAI model and I got an Runtime error. The rest of the codes remain same. Here is the youtube video link https://youtu.be/yF9kGESAi3M
Here is my code:
from dotenv import load_dotenv
from langchain import hub
from langchain.agents import AgentExecutor, create_react_agent
from langchain_groq import ChatGroq
# Load environment variables from .env file
load_dotenv()
# Define a very simple tool function that returns the current time
def get_current_time(*args, **kwargs):
"""Returns the current time in H:MM AM/PM format."""
import datetime # Import datetime module to get current time
return now.strftime("%I:%M %p") # Format time in H:MM AM/PM format
# List of tools available to the agent
tools = [
Tool(
name="Time", # Name of the tool
func=get_current_time, # Function that the tool will execute
# Description of the tool
description="Useful for when you need to know the current time",
),
]
# Pull the prompt template from the hub
# ReAct = Reason and Action
prompt = hub.pull("hwchase17/react")
# Initialize a ChatOpenAI model
llm = ChatGroq(model="llama3-groq-8b-8192-tool-use-preview", temperature=0)
# Create the ReAct agent using the create_react_agent function
agent = create_react_agent(
llm=llm,
tools=tools,
prompt=prompt,
stop_sequence=True,
)
# Create an agent executor from the agent and tools
agent_executor = AgentExecutor.from_agent_and_tools(
agent=agent,
tools=tools,
verbose=True,
)
# Run the agent with a test query
response = agent_executor.invoke({"input": "What time is it?"})
# Print the response from the agent
print("response:", response)
Here is the error message I got:
raise RuntimeError(f'no validator found for {type_}, see `arbitrary_types_allowed` in Config')
RuntimeError: no validator found for <class 'langchain.chains.llm.LLMChain'>, see `arbitrary_types_allowed` in Config
1
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Need help in fixing bug
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