Error building Component CSVAgent: [Errno 22] Invalid argument:

[anshulyadav1976]

Checked other resources

• I added a very descriptive title to this issue.
• I searched the LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.
• I am sure that this is a bug in LangChain rather than my code.
• The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

Error building Component CSVAgent: [Errno 22] Invalid argument:

Error Message and Stack Trace (if applicable)

Error building Component CSVAgent: [Errno 22] Invalid argument:

Description

im using the csv agent and when i run the chatbot it returns the error :
Error building Component CSVAgent: [Errno 22] Invalid argument: and then it also shows every word in the csv file in the error message

the code for the csv agent is as follows : from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent

from langflow.base.agents.agent import LCAgentComponent
from langflow.field_typing import AgentExecutor
from langflow.inputs import HandleInput, FileInput, DropdownInput

class CSVAgentComponent(LCAgentComponent):
display_name = "CSVAgent"
description = "Construct a CSV agent from a CSV and tools."
documentation = "https://python.langchain.com/docs/modules/agents/toolkits/csv"
name = "CSVAgent"

inputs = LCAgentComponent._base_inputs + [
    HandleInput(name="llm", display_name="Language Model", input_types=["LanguageModel"], required=True),
    FileInput(name="path", display_name="File Path", file_types=["csv"], required=True),
    DropdownInput(
        name="agent_type",
        display_name="Agent Type",
        advanced=True,
        options=["zero-shot-react-description", "openai-functions", "openai-tools"],
        value="openai-tools",
    ),
]

def build_agent(self) -> AgentExecutor:
    # Open the CSV file with 'latin-1' encoding
    with open(self.path, encoding='latin-1') as csv_file:
        csv_data = csv_file.read()

    return create_csv_agent(llm=self.llm, path=csv_data, agent_type=self.agent_type, **self.get_agent_kwargs())

System Info

windows 11