Create csv agent langchain documentation. create_pandas_dataframe_agent ().

Create csv agent langchain documentation. May 5, 2024 · In this section, we import the necessary modules to create and interact with the LangChain CSV Agent. 4csv_agent # Functions from datetime import datetime from io import IOBase from typing import List, Optional, Union from langchain. agents. Use cautiously. agent_toolkits. path (Union[str, IOBase, List[Union[str, IOBase]]]) – A string path, file-like object or a list of string paths/file-like objects that can be read in as pandas DataFrames with pd. It is mostly optimized for question answering. NOTE: this agent calls the Pandas DataFrame agent under the hood, which in turn calls the Python agent, which executes LLM generated Python code - this can be bad if the LLM generated Python code is harmful. read_csv(). 5rc1 agents create_csv_agent Create csv agent with the specified language model. number_of_head_rows (int) – Number of rows to display in the prompt for sample data Dec 9, 2024 · kwargs (Any) – Additional kwargs to pass to langchain_experimental. Feb 8, 2024 · The create_csv_agent function expects a file path (string) or a file-like object that can be read with pd. 3. messages import BaseMessage, HumanMessage, SystemMessage from langchain_core. agents import AgentExecutor, create_tool_calling_agent from langchain_core. base. Returns An AgentExecutor with the specified agent_type agent and access to a PythonAstREPLTool with the loaded DataFrame (s) and any user-provided extra_tools. Additionally, we import Bedrock from LangChain for accessing models and boto3 for AWS SDK to Oct 29, 2023 · Agent Deep dive To understand primarily the first two aspects of agent design, I took a deep dive into Langchain’s CSV Agent that lets you ask natural language query on the data stored in your csv file. The UploadedFile object from Streamlit is a file-like object, but it seems like it's not compatible with pd. Parameters: llm (BaseLanguageModel) – Language model to use for the agent. Return type AgentExecutor Example Create csv agent with the specified language model. pandas. LangChain Python API Reference langchain-cohere: 0. number_of_head_rows (int) – Number of rows to display in the prompt for sample data This template uses a csv agent with tools (Python REPL) and memory (vectorstore) for interaction (question-answering) with text data. Agents select and use Tools and Toolkits for actions. llm (LanguageModelLike) – Language model to use for the agent. prompts import . read_csv (). 2. create_pandas_dataframe_agent (). LangChain Python API Reference langchain-experimental: 0. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. path (str | List[str]) – A string path, or a list of string paths that can be read in as pandas DataFrames with pd. language_models import BaseLanguageModel from langchain_core. csv_agent # Functionslatest CSV Agent # This notebook shows how to use agents to interact with a csv. xmpvae zuzwg npyaf edxkqeh bbwkk sliz khayz wymjpq obaqcu awjrzhc