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from typing import List
from langchain.agents import tool
from dotenv import load_dotenv
from langchain.agents import load_tools
from langchain.llms import OpenAI
from langchain.agents import initialize_agent, AgentType
load_dotenv()
import os
INPUTS = {}
@tool("get_desired_inputs")
def get_desired_inputs(input: str) -> dict:
"""Use this between tools to get the desired inputs for the next tool.
You will be given a task that will be performed by an autonomous agent on behalf of a user. You will gather any necessary data from the user to complete the specified task before executing the task.
"""
prompt = input
llm = OpenAI(temperature=0)
agent = initialize_agent(
tools=load_tools(["human"]),
llm=llm,
agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,
)
return agent.run(prompt)
def get_user_inputs():
# iterate through INPUTS and populate values
print("Done")
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